Amazon Comprehend Alternatives

Dialogflow from Google Cloud is a natural language understanding platform that makes it easy to design and integrate a conversational user interface into your mobile app, web application, device, bot, interactive voice response system, and so on. Using Dialogflow, you can provide new and engaging ways for users to interact with your product. Dialogflow can analyze multiple types of input from your customers, including text or audio inputs (like from a phone or voice recording). It can also respond to your customers in a couple of ways, either through text or with synthetic speech. Dialogflow CX and ES provide virtual agent services for chatbots and contact centers. If you have a contact center that employs human agents, you can use Agent Assist to help your human agents. Agent Assist provides real-time suggestions for human agents while they are in conversations with end-user customers.

Speechmatics is the most accurate and inclusive speech-to-text API ever released. Speechmatics is the world’s leading expert in Speech Intelligence, combining the latest breakthroughs in AI and ML to unlock the business value in human speech. Businesses use Speechmatics worldwide to accurately understand and transcribe human-level speech into text regardless of demographic, age, gender, accent, dialect, or location in real-time and on recorded media. Combining these transcripts with the latest AI-driven speech capabilities, businesses build products that utilize summarization, topic and chapter detection, sentiment analysis, translation, and more. Speechmatics processes over 500 years of transcription worldwide every month in 50 languages and can translate 69 language pairs. Having pioneered machine learning in speech recognition, its neural networks consider acoustics, languages, dialects, multiple speakers, punctuation, capitalization, context, and implicit meanings.

Get insightful text analysis with machine learning that extracts, analyzes, and stores text. Train high-quality machine learning custom models without a single line of code with AutoML. Apply natural language understanding (NLU) to apps with Natural Language API. Use entity analysis to find and label fields within a document, including emails, chat, and social media, and then sentiment analysis to understand customer opinions to find actionable product and UX insights. Natural Language with speech-to-text API extracts insights from audio. Vision API adds optical character recognition (OCR) for scanned docs. Translation API understands sentiments in multiple languages. Use custom entity extraction to identify domain-specific entities within documents, many of which don’t appear in standard language models, without having to spend time or money on manual analysis. Train your own high-quality machine learning custom models to classify, extract, and detect sentiment.

Amazon Lex is a service for building conversational interfaces into any application using voice and text. Amazon Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions. With Amazon Lex, the same deep learning technologies that power Amazon Alexa are now available to any developer, enabling you to quickly and easily build sophisticated, natural language, conversational bots (“chatbots”). With Amazon Lex, you can build bots to increase contact center productivity, automate simple tasks, and drive operational efficiencies across the enterprise. As a fully managed service, Amazon Lex scales automatically, so you don’t need to worry about managing infrastructure.

Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases. With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.

MeaningCloud is the easiest, most powerful, and most affordable way to extract the meaning from unstructured content: documents, articles, social conversations, web content, etc. We provide text analytics products to extract the most accurate insights from any content in many languages. And we do it SaaS and On-prem. We work for different industries (pharma, finance, media, retail, hospitality, telco, etc.) developing personalized and industry-oriented solutions.  Pay only for what you use, without any activation fees, minimum time commitment and with the most generous free plan of the market. If you don't like it, you can stop using it, just like that. Without software to install or infrastructure to deploy. All the reliability and scalability of solutions in the cloud, and the possibility of testing it for free.

spaCy is designed to help you do real work, build real products, or gather real insights. The library respects your time and tries to avoid wasting it. It's easy to install, and its API is simple and productive. spaCy excels at large-scale information extraction tasks. It's written from the ground up in carefully memory-managed Cython. If your application needs to process entire web dumps, spaCy is the library you want to be using. Since its release in 2015, spaCy has become an industry standard with a huge ecosystem. Choose from a variety of plugins, integrate with your machine learning stack, and build custom components and workflows. Components for named entity recognition, part-of-speech tagging, dependency parsing, sentence segmentation, text classification, lemmatization, morphological analysis, entity linking, and more. Easily extensible with custom components and attributes. Easy model packaging, deployment, and workflow management.

Integrate our text analytics APIs to add world-leading NLP into your product, platform, or application. The most feature-complete NLP feature stack on the market, 19 years in development and constantly being improved with new libraries, configurations, and models. Determine whether a piece of writing is positive, negative, or neutral. Sort and organize documents into customizable groups. Determine the expressed intent of customers and reviewers. Find people, places, dates, companies, products, jobs, titles, and more. Deploy our text analytics and NLP systems across any combination of on-premise, private cloud, hybrid cloud, and public cloud infrastructure. Our core text analytics and natural language processing software libraries are at your command. Suitable for data scientists and architects who want complete access to the underlying technology or who need on-premise deployment for security or privacy reasons.

Komprehend AI APIs are the most comprehensive set of document classification and NLP APIs for software developers. Our NLP models are trained on more than a billion documents and provide state-of-the-art accuracy on most common NLP use cases such as sentiment analysis and emotion detection. Try our free demo now and see the effectiveness of our Text Analysis API. Maintains high accuracy in the real world, and brings out useful insights from open-ended textual data. Works on a variety of data, ranging from finance to healthcare. Supports private cloud deployments via Docker containers or on-premise deployment ensuring no data leakage. Protects your data and follows the GDPR compliance guidelines to the last word. Understand the social sentiment of your brand, product, or service while monitoring online conversations. Sentiment analysis is contextual mining of text which identifies and extracts subjective information in the source material.

Watson Natural Language Understanding is a cloud native product that uses deep learning to extract metadata from text such as entities, keywords, categories, sentiment, emotion, relations, and syntax. Get underneath the topics mentioned in your data by using text analysis to extract keywords, concepts, categories and more. Analyze your unstructured data in more than thirteen languages. Out-of-the-box machine learning models for text mining provide a high degree of accuracy across your content. Deploy Watson Natural Language Understanding behind your firewall or on any cloud. Train Watson to understand the language of your business and extract customized insights with Watson Knowledge Studio. Maintain ownership of your data with the assurance that your data is safe and secure. IBM will not collect or store your data. By using our advanced natural language processing (NLP) service, we give developers the tools to process and extract valuable insights from unstructured data.

Turn your language data into insights, fast and with no code. Join 10,000+ companies, researchers, and marketers using Speak to reduce manual labor, unlock competitive advantages, build stronger customer relationships, and make better decisions. Whether you are doing qualitative research, academic research, marketing research, competitive analysis, digital marketing, or other crucial functions of your organization, Speak has enabled easy individual and bulk uploading of audio, video, and text data. Convert audio and video to text with automated transcription, import CSVs for bulk analysis, capture recordings with an embeddable recorder, create directly in Speak, or use popular integrations to automate capture. Whether it is customer interviews, Zoom recordings, YouTube videos, podcasts, focus groups, Amazon Reviews, tweets, or other crucial qualitative feedback channels, Speak will help you identify actionable, competitive insights in your data.

OpenText™ Unstructured Data Analytics products employ AI and machine learning to help organizations uncover and leverage key insights stored deep within their unstructured data, including text, audio, video, and images. Organizations can connect all their data to understand the context and information locked inside high-growth unstructured content—at scale. Discover insights hidden within all types of media with unified text, speech, and video analytics that support more than 1,500 data formats. Use natural language processing, optical character recognition (OCR), and other AI-powered models to understand and track the meaning within unstructured data. Employ the latest innovations in machine learning and deep neural networks to understand written and spoken language in data, revealing greater insights.

Luminoso turns unstructured text data into business-critical insights. Using common-sense artificial intelligence to understand language, we empower organizations to discover, interpret, and act on what people are telling them. Requiring little setup, maintenance, training, or data input, Luminoso combines world-leading natural language understanding technology with a vast knowledge base to learn words from context – like humans do – and accurately analyze text in minutes, not months. Our software provides native support in over a dozen languages, so leaders can explore relationships in data, make sense of feedback, and triage inquiries to drive value, fast. Luminoso is privately held and headquartered in Boston, MA.

Thanks to its optimized performance and easy integration, the Lettria API will help you analyze your raw data to bring out the key elements. Enter the era of Automatic Language Processing "as a service". The Lettria API efficiently and rigorously analyzes all points of contact with your customers (email, support, telephone). It structures the data to create a clear , easily usable history and ensure your GDPR compliance. Sentiment analysis is very useful for social listening applications (or e-reputation monitoring). It moderates in real time what is said about your brand. Complete documentation to get the most out of the French / NLP automatic processing API. Tutorials to support the deployment of the Lettria API in your projects. Transparent algorithms, in order and explainable.

Deep Talk is the fastest way to transform text from chats, emails, surveys, reviews, social networks into real business intelligence. Understand what's inside communications with customers with our easy-to-use AI platform. Unsupervised deep learning models to analyze your unstructured text data. Deepers are pre trained deep learning models to get custom detections inside your data. Use the "Deepers" API to analyze text in real time and tag text or conversations. Reach the people who need a product, request a new feature or express a complaint. Deep Talk offers cloud-based deep learning models as a service. You just need to upload your data or integrate one of the support services to extract all the insights and information from WhatsApp, chat conversations, emails, surveys or social networks.

Repustate provides world-class AI-powered semantic search, sentiment analysis and text analytics for organizations globally. It gives businesses the capability to decode terabytes of information and discover valuable, actionable, business insights more astutely than ever. From our esteemed clients in the Healthcare industry, to recognised leaders in Education, Banking or Governance, Repustate provides continuous deep dives into complex integrated data across industries. Our solution drives sentiment analysis and text analytics for social media listening, Voice of Customer (VOC), and video content analysis (VCA) across platforms. It encompasses the plethora of slangs, emojis and acronyms superseding the rules of formal language in social media. Whether it’s data from Youtube, IGTV, Facebook, Twitter or TikTok, or your own customer review forums, employee surveys, or EHRs, you can identify the critical aspects of your business precisely.

Document processing is complicated, but it doesn’t have to be. Introducing an intelligent document processing platform that understands what you’re trying to find, extract, categorize, and format. Infinia ML uses machine learning to quickly grasp content in context, understanding not just words and charts, but the relationships between them. Whether your goal is process automation, predictive insights, relationship understanding, or a semantic search engine, we can build it with our end-to-end machine learning capabilities. Use machine learning to make better business decisions. We customize your code to address your specific business challenge, surfacing untapped opportunities, revealing hidden insights, and generating accurate predictions to help you zero in on success. Our intelligent document processing solutions aren’t magic. They’re based on advanced technology and decades of applied experience.

Amazon Textract is a fully managed machine learning service that automatically extracts text and data from scanned documents that goes beyond simple optical character recognition (OCR) to identify, understand, and extract data from forms and tables. Many companies today extract data from scanned documents, such as PDF's, tables and forms, through manual data entry (that is slow, expensive and prone to errors), or through simple OCR software that requires manual configuration which needs to be updated each time the form changes to be usable. To overcome these manual processes, Textract uses machine learning to instantly read and process any type of document, accurately extracting text, forms, tables, and, other data without the need for any manual effort or custom code. With Textract you can quickly automate manual document activities, enabling you to process millions of document pages in hours.

Canvs AI is an insights platform that transforms open-ended text from surveys, social media, transcripts, product reviews, and more into conversational intelligence about how people feel and why. Canvs is used by some of the world’s most admired brands, research agencies, and media and entertainment companies to accelerate time-to-insights, deepen understanding of audiences, and reduce the cost of analysis. Automate the analysis of open-ended text to quickly unlock consumer insights with deep, nuanced emotional context and high analytical confidence. Quickly explore, filter, and compare findings and generate stunning data visualizations with Canvs’ intuitive, easy-to-use insights portal. Streamline analysis of open-ends in your brand and concept tests and automate the coding of unaided awareness, recall and attribute questions. Quickly identify and categorize the sentiment and emotions associated with responses and respondents.

Find mentions of places, people, brands and events in documents and social media. Easily get additional data about the entities. Classify multilingual text into standard, pre-defined taxonomies or build your own custom classification scheme in minutes. Identify whether the expressed opinion in short texts (like product reviews) is positive, negative, or neutral. Automatically identify important, contextually relevant, concepts and key-phrases in articles and social media posts. Compare two texts and compute their syntactic and semantic similarity. Understand when two texts are about the same subject. Extract clean text article from newspapers, blogs and other websites. Remove boilerplate and advertising and get the article full text and images.

Allganize's industry-leading AI solutions provide businesses with the best tool to automate customer and employee support. Automate an average of 72% of all monthly support tickets within the first 4 months of implementation. Let our AI automate simple customer requests and free up your agents’ time to handle more complex issues. Employees can ask questions in a conversational way and find answers from multiple document types. Conversational AI chat bot pre-trained for your websites and automates customer service. Intelligent search that extracts accurate answers from any document, instantaneously. Automatically extracts important keywords from any document and categorizes them, providing valuable insights. Understands the context of product reviews using one's natural language to automatically detect positive or negative experiences. Assigns predefined categories from customer support conversions to accurately determine user intent.

Handle text data with a no-code console that can read natural language. Never again with a spreadsheet. Spreadsheets have no clue about words meaning and languages. You do, and SimpleX does too. No complicated queries nor machine learning gibberish. A.I. is well hidden behind a simple and intuitive UI. Analyze 10x faster free text answers. Import, tag, categorize, and filter hundreds of quotes in seconds. Our A.I. does all the heavy lifting for you. Instant treemaps or word clouds, ready to be pasted in your presentation. And tidy exports with all the right insights. Understands and processes natively 50 languages, even mixed up. Deals with up to 10k text answers such as quotes, feedback, comments, and reviews. Extracts insights 10 times faster thanks to AI-powered analytical features. Performs in real-time time-consuming tasks you thought only humans could do. Sophisticated AI is a simple & friendly solution.

Our AI-powered natural language processing technology can capture, analyze, and visualize insights from every channel of customer communication. Call transcriptions, chats, emails, support tickets, return claims, social media, and surveys. All in 47 languages! With Explorer, anyone can analyze open ended text responses in minutes. Explorer has an API that allows you to integrate your unstructured text data into your business intelligence ecosystem. Employee experience is the field of analyzing and determining factors that make employees happy and motivated. Our products help companies process, analyze and understand large amounts of unstructured natural language data in a short amount of time. An intuitive platform to build your custom bots fully suited to your business needs, with no coding needed. Minutes to start for immediate efficiency gains. The Gavagai API is a collection of semantic analysis tools supporting 47 languages. Access our easy to use endpoints immediately.

Text analytics and NLP software libraries for on-premise deployment or integration. Integrate Salience into your enterprise business intelligence architecture or white label it inside your own data analytics product. Salience can process 200 tweets per second while scaling from single process cores to entire data centers with a small memory footprint. Use Java, Python, .NET/C# bindings for higher level ease or the native C/C++ interface for maximum speed. Enjoy full access to the underlying technology. Tune every text analytics function and NLP feature, from tokenization and part of speech tagging to sentiment scoring, categorization, theme analysis, and more. Built on a pipeline model of NLP rules and machine learning models. When issues arise, see exactly where they are in the pipeline. Adjust specific features without disrupting the larger system. Salience runs entirely on your servers while staying flexible enough to offload insensitive data to cloud servers.

All-in-one domain data source to get website logos, company data, categorization, and much more from a URL or email. Our website categorization API is highly accurate, a simple lookup of a company will classify its industry within 385 possible topic categories. Our classification taxonomy is based on the IAB V2 standard, it can be used for 1-1 personalization, marketing segmentation, online filtering, and more. Our classification taxonomy is based on the IAB V2 standard, it can be used for 1-1 personalization, marketing segmentation, online filtering, and more. We offer three top-level category structures to choose from. Whether you need the IAB taxonomy's deep categorization or prefer a more straightforward category structure, we’ve got you covered. Our website categorization API uses a machine learning (ML) engine to scan a website’s content and meta tags. It extracts text to classify the site and assigns up to three categories aided by natural language processing (NLP).

Atomic Intelligence provides a web-based service for the automated analysis of text content. We monitor large volumes of content, such as news, social media, and regulatory filings, and detect the opinions expressed along with mentions of company names, products, and topics. Our service is used by investment firms who use the data as part of their proprietary trading strategies, by consumer product companies who need to understand what their customers are saying, and by technology companies who want to outsource text analysis. Atomic Intelligence scans text to find mentions of companies, products, sentiment, topics, and more. Natural language processing and machine learning is used to identify important mentions, which may be explicit or implicit in the text. Atomic Intelligence works with any type of unstructured content. Upload files through the web interface, or via an API, or customize Atomic to perform automated scheduled fetching from your chosen sources.

Build natural language understanding and generation into your product with a few lines of code. The Cohere API provides access to models that read billions of web pages and learn to understand the meaning, sentiment, and intent of the words we use. Use the Cohere API to write human-like text by completing a prompt or filling in blanks. You can write copy, generate code, summarize text, and more. Compute the likelihood of text and retrieve representations from the model. Use the likelihood API to filter text based on chosen categories or selected criteria. With representations, you can train your own downstream models on a wide variety of domain-specific natural language tasks. The Cohere API can compute the similarity between pieces of text, and make categorical predictions by comparing the likelihood of different text options. The model has multiple lenses through which to view ideas, so that it can recognize abstract similarities between concepts as distinct as DNA and computers.

Grooper was built from the ground up by BIS, a company with 35 years of continuous experience developing and delivering new technology. Grooper is an intelligent document processing and digital data integration solution that empowers organizations to extract meaningful information from paper/electronic documents and other forms of unstructured data. The platform combines patented and sophisticated image processing, capture technology, machine learning, natural language processing, and optical character recognition to enrich and embed human comprehension into data. By tackling tough challenges that other systems cannot resolve, Grooper has become the foundation for many industry-first solutions in healthcare, financial services, oil and gas, education, and government.

NaturalText A.I. helps you get more out of your data. Discover relationships, create collections, and unveil hidden insights in documents and other text-based data. NaturalText A.I. uses novel artificial intelligence technology to uncover hidden relationships in data. The software uses various state-of-the-art methods to understand context, analyze patterns, and reveal insights—all in a human-readable way. Reveal insights hidden in your data. Finding everything hidden in your text data is a difficult, if not impossible, task. With traditional search, you can only locate information related to a document. NaturalText A.I., on the other hand, uncovers new information within millions of documents, including scientific papers and patents. Use NaturalText A.I. to reveal insights in the data you are currently missing.

Encode your knowledge into machine learning models that can automate text-based workflows at scale with human-level quality. Build your own models from scratch, retrain our world-class models for your specific task, or use Primer models off-the-shelf. Anyone in your organization can build and train models using Primer Automate — no coding or technical skills required. Add a structured layer of intelligence on top of your data and create a scalable, self-curating knowledge base that can sift through billions of documents in seconds. Find answers to critical questions quickly, monitor updates in real time, and automatically generate easy-to-read reports. Process all of your documents, emails, PDFs, text messages, and social media to find the information that matters most. Primer Extract uses cutting-edge machine learning tools to help you explore your data quickly, and at scale. Going beyond keyword search, Extract also gives you translation, OCR, and image recognition capabilities.

Dcipher Analytics is the modern no-code, end-to-end SaaS-based text analytics platform that makes text analytics available for the general domain expert. The platform accelerates the time-to-insight, model-training, and automation of workflows for all analysts and insights professionals. A unique architecture and proprietary query language tailored for nested data structure, such as text, is the foundation of the solution. Dcipher Analytics is the world’s leading end-to-end solution for gaining value from unstructured text data. Whether you’re looking for a tool, an API, or pure insights, you’ve come to the right place. Analyze customer emails, reviews, and chat logs to discover issues and strengthen customer success. Build more relevant FAQs and train chatbots faster. Mine social media to understand consumer needs and pains and identify emerging trends. Use for marketing and product development.

Mine insights in unstructured text using NLP—no machine-learning expertise required—using text analytics, a collection of features from Cognitive Service for Language. Gain a deeper understanding of customer opinions with sentiment analysis. Identify key phrases and entities such as people, places, and organizations to understand common topics and trends. Classify medical terminology using domain-specific, pretrained models. Evaluate text in a wide range of languages. Identify important concepts in text, including key phrases and named entities such as people, events, and organizations. Examine what customers are saying about your brand and analyze sentiments around specific topics through opinion mining. Extract insights from unstructured clinical documents such as doctors' notes, electronic health records, and patient intake forms using text analytics for health.

GPT-4 (Generative Pre-trained Transformer 4) is a large-scale unsupervised language model, yet to be released by OpenAI. GPT-4 is the successor to GPT-3 and part of the GPT-n series of natural language processing models, and was trained on a dataset of 45TB of text to produce human-like text generation and understanding capabilities. Unlike most other NLP models, GPT-4 does not require additional training data for specific tasks. Instead, it can generate text or answer questions using only its own internally generated context as input. GPT-4 has been shown to be able to perform a wide variety of tasks without any task specific training data such as translation, summarization, question answering, sentiment analysis and more.

ChatGPT is a language model developed by OpenAI. It has been trained on a diverse range of internet text, allowing it to generate human-like responses to a variety of prompts. ChatGPT can be used for various natural language processing tasks, such as question answering, conversation, and text generation. ChatGPT is a pre-trained language model that uses deep learning algorithms to generate text. It was trained on a large corpus of text data, allowing it to generate human-like responses to a wide range of prompts. The model has a transformer architecture, which has been shown to be effective in many NLP tasks. In addition to generating text, ChatGPT can also be fine-tuned for specific NLP tasks such as question answering, text classification, and language translation. This allows developers to build powerful NLP applications that can perform specific tasks more accurately. ChatGPT can also process and generate code.

Whether for a service or a product, whether a snapshot or monitoring over time - Cauliflower processes feedback and comments from various application areas. Using Artificial Intelligence (AI), Cauliflower identifies the most important topics, their relevance, evaluation and relationships. In-house developed machine learning models for the extraction of content and evaluation of sentiment. Intuitive dashboards with filter options and drill-downs. Use included variables for language, weight, ID, time or location. Define your own filter variables in the dropdown. Cauliflower translates the results into a uniform language if required. Define a company-wide language about customer feedback instead of reading it sporadically and quoting individual opinions.

Semantria is a natural language processing (NLP) API from Lexalytics, leaders in enterprise sentiment analysis and text analytics since 2004. Semantria offers multi-layered sentiment analysis, categorization, entity recognition, theme analysis, intention detection and summarization in an easy-to-integrate RESTful API package. Semantria is totally customizable through graphical configuration tools, supports 24 languages, and can be deployed across private, public and hybrid clouds. Semantria scales effortlessly from single servers to entire data centers and back again to meet your on-demand processing needs. Integrate Semantria to add powerful, flexible text analytics and natural language processing capabilities to your cloud-based data analytics products or enterprise business intelligence infrastructure. Or add Lexalytics storage and visualization tools to create a complete business intelligence platform for storing, managing, analyzing and visualizing text documents.

Select from our library, fine-tune, or build your own capabilities to analyze and process text, audio and video at scale. Integrate advanced NLP into your app or workflow. Select from the library or build your own. Summarize, tag and analyze language with stackable, composable NLP building blocks, built on state-of-the-art models, all with a single API call. Build and fine-tune custom Language Skills with your data using our powerful Custom-Skill engine. Only 5% of the world's population speaks English as their native language. Most of One AI’s capabilities are multilingual. So whether you build a podcast platform, CRM, content publishing tool, or any other product, the language detection, processing, transcription, analytics, and comprehension capabilities are here.

AI21 Studio provides API access to Jurassic-1 large-language-models. Our models power text generation and comprehension features in thousands of live applications. Take on any language task. Our Jurassic-1 models are trained to follow natural language instructions and require just a few examples to adapt to new tasks. Use our specialized APIs for common tasks like summarization, paraphrasing and more. Access superior results at a lower cost without reinventing the wheel. Need to fine-tune your own custom model? You're just 3 clicks away. Training is fast, affordable and trained models are deployed immediately. Give your users superpowers by embedding an AI co-writer in your app. Drive user engagement and success with features like long-form draft generation, paraphrasing, repurposing and custom auto-complete.

Magically extracts meaning from your content. Tailored to you. Machine Learning Ingenia uses proprietary advanced machine learning algorithms to give structure to the content you send to it via our API, by finding the unique patterns that associate your content with your tags. Made to measure Ingenia is tailored to your content: why use standard generic categories, when you can choose the ones that are best suited to your content? Ingenia will learn about them. And you can change them any time. You're in charge. Continuously adapts to your content The way you categorize your content is bound to change over time. Instead of being stuck with outdated categories, or having to manually modify them again and again, let Ingenia take care of it, as it automatically evolves with your content.

With a background in protecting children online, our comparative text analysis platform extracts business value from your text data. Relative Insight’s technology helps marketing insights professionals and brand specialists like you extract more value out of the text data you’ve already got. By utilizing a comparative approach, our platform helps you to generate rich audience insights quickly and at scale. This adds sophistication and science to your qualitative analysis. Equipped with unique marketing insights, brands can develop sharper communications, better brand positioning, and more resonant campaigns. Our platform will help you decipher and embrace your unstructured data and reduce the time it takes to analyze. This same approach can be used to analyze other primary research transcripts including videos, interviews, and focus groups, you’re sitting on a data goldmine! Relative Insight enables you to compare your brand messaging against competitors.

MonkeyLearn makes it simple to clean, label and visualize customer feedback — all in one place. Powered by cutting edge Artificial Intelligence. All-in-one text analysis and data visualization studio. Gain instant insights when you run an analysis on your data. Use ready-made machine learning models, or build and train your own – code free. Discover our templates, tailored for different business scenarios and equipped with pre-made text analysis models and dashboards. Identify the topics and interests that matter most to target markets. Execute demand generation and sales strategies based on accurate analyses of customer opinions and feelings. Slice and dice your survey responses by requests, intent, and sentiment. See more than the survey intended.

The TextRazor API helps you extract and understand the Who, What, Why and How from your news stories with unprecedented accuracy and speed. Entity Extraction, Disambiguation and Linking. Keyphrase Extraction. Automatic Topic Tagging and Classification. All in 12 languages. Deep analysis of your content to extract Relations, Typed Dependencies between words and Synonyms, enabling powerful context aware semantic applications. Rapidly extract custom products, companies and build problem specific rules for tagging your content with your own categories. TextRazor offers a complete cloud or self-hosted text analysis infrastructure. We combine state-of-the-art natural language processing techniques with a comprehensive knowledgebase of real-life facts to help rapidly extract the value from your documents, tweets or web pages.

Powering your analysis. Leximancer automatically analyses your text documents to identify the high level concepts, delivering the key ideas and actionable insights you need with powerful models, interactive visualizations and data exports. Leximancer supports processing text from a number of different formats and languages. Single or large document collections supported. go beyond text, find meaning. Text is more than a collection of words. Text tells a story. Ideas, concepts, and relationships are buried in the words. Identifying the concepts quickly and effectively is key to taking advantage of what text is really saying. Customer surveys, published articles, interview transcripts, long reports, web pages, feedback forms, tweets, and more. Find out what is really being said. Key Leximancer Features. Text Modelling. Minimal set-up. No training sets or key term dictionaries. No human bias in analysis Finds Concepts in Context, not keywords. Useful results fast.

AWS pre-trained AI Services provide ready-made intelligence for your applications and workflows. AI Services easily integrate with your applications to address common use cases such as personalized recommendations, modernizing your contact center, improving safety and security, and increasing customer engagement. Because we use the same deep learning technology that powers Amazon.com and our ML Services, you get quality and accuracy from continuously-learning APIs. And best of all, AI Services on AWS doesn't require machine learning experience. Catalog assets, automate workflows, and extract meaning from your media and applications. Identify missing product components, vehicle and structure damage, and irregularities for comprehensive quality control. Improve operations with automated monitoring to find bottlenecks and assess manufacturing quality and safety. Pull valuable information from millions of documents at speed.

BytesView is an advanced machine learning and NLP-based text analysis tool. It can compile and analyze large volumes of text data from multiple information sources with ease. The various text mining and analysis models can help analyze and extract valuable insights from unstructured text. BytesView also offers API services that can help you train custom data analysis models with data specific to your organization to increase accuracy and efficiency.

Collaborative text analytics for human and machine-learning. We provide dozens of multilingual, text mining, data science, human annotation, and machine-learning features. DiscoverText offers a range of simple to advanced cloud-based software tools empowering users to quickly and accurately evaluate large amounts of text data. Our customers sort unstructured free text common in market research, as well as associated metadata, also found in customer feedback platforms, CRMs, chats, email, large scale HR or other surveys, public comment to government agencies, Twitter, RSS feeds, and other forms of text data. Find out why we are ranked #1 for text, metadata, and social network analysis support and trusted by hundreds of academic research groups. Our machine-learning sifters are created in hours or just a few minutes using crowdsourcing. We offer an API and support technical integrations with Twitter and SurveyMonkey.

Medallia allows you to thoughtfully and systematically engage your users with targeted, in-the-moment surveys across digital and traditional touchpoints. Our easily implemented survey solutions ensure you're gathering relevant, actionable data to make measurable customer impact. Once the customer survey data is collected, Medallia's AI technology uses machine learning to analyze structured and unstructured data to uncover sentiment, find commonalities, predict behavior, anticipate needs and prescribe actions to improve experiences. Build the most effective surveys for your customer journeys. Rapidly manage change and innovation to every aspect of your experience management program—from design to emails, questions and translations—with sophisticated targeting logic, flexible conditioning and distribution. Medallia surveys allow you to

Our systems intelligently gather a variety of high quality unstructured data streams across hundreds of sources, in the form of text, voice, images and videos. Our systems clean this data and are trained to extract signals across products, services, attributes, brands, sentiments, customers, markets, and trends. It gets synthesized and contextualized using our proprietary Deep Product Learning ® technology. Use our enterprise-grade integrations to ingest your private data. Assess and benchmark your view of your products and services with the competitive landscape. Our platform delivers powerful AI-driven actions where you need it - dashboard, APIs and integrations - and turn insights into action, across PIMs, CRMs, voice assistants, chatbots, and more.

Discovering, extracting, retrieving and finding the value in your enterprise data is all about getting insights. TAS Insight Engine provides you all the essential insights leading you to the right business decision. Getting insight means a kind of information extraction out of enterprise data, with the aim of supporting the business decision making. It is obvious why getting insight plays a major role nowadays, since understanding your data and obtaining results and answers are essential to face the challenges of today’s business world. In all areas or sectors, always. To make this possible, TAS Insight Engine combines the latest achievements as benefits of text analytics, Natural Language Processing (NLP) and Machine Learning (ML).

Take control of your models with the leading Machine Learning-as-a-Service Platform for unstructured social and voice-of-customer text analytics. Our experienced team of experts can help you build highly-advanced, bespoke social models to leverage, deploy, generalize and utilize your information properly. Align your social listening initiatives with best practice AI strategies for transparency, accuracy and fairness. New to social listening or want to advance the effectiveness of your solution? We provide the industry’s most experienced team to help guide your journey. You have the data but now want to discover critical insights. We provide a wide range of industry-leading programmatic insight solutions powered by our AI classifiers. Choose from a robust library of industry-based prebuilt machine learning models for immediate deployment. Help ensure your models are not inadvertently discriminatory and inaccurate. Understand the performance of each model clearly before deployment.