Azure Text Analytics Alternatives

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.

Azure AI Language is a managed service for developing natural language processing applications. Identify key terms and phrases, analyze sentiment, summarize text, and build conversational interfaces. Use Language to annotate, train, evaluate, and deploy customizable AI models with minimal machine-learning expertise. From predefined entity categories for every business to text analytics for healthcare domains, out-of-box capabilities help you get started quickly with the ability to further customize and optimize when needed. Provide a few labeled examples to train your machine learning model for your specific use case. Custom multilingual models can be trained in one language and used for multiple other languages. Access GPT-powered advanced language models through Language Studio to quickly scan and suggest labels for your content. Extract, label, and redact vital information in text across multiple categories.

Eden AI simplifies the use and deployment of AI technologies by providing a unique API connected to the best AI engines. Your time is precious: we take care of providing you with the AI engine best suited to your project and your data. No need to wait for weeks to change your AI engine. You can do it for free in a few seconds. We make sure to get you the cheapest provider while ensuring equal performance.

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.

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.

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.

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.

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.

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.

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.

Kimola Cognitive is a rock-solid Machine Learning Platform that enables users to grab reviews from 20+ channels and analyze + classify customer feedback -or any text data- automatically. Here are the TOP skills of Kimola Cognitive: - Scrape Web and Collect Reviews - Text Analysis with Entity Recognition - Analyze Data with Pre-Built models on Kimola Cognitive Gallery - Create, Train and Store Your Own Custom Models (No Coding Skills are Required) - Create Executive Summary, Generate SWOT Analysis and many powerful marketing materials using GPT Integration - Available in 6 languages (and counting!)

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.

• Categorize Themes • Visualize Results • Topic-Level Sentiment Analysis • Powered by Collaborative AI Caplena is a customer feedback tool that uses augmented intelligence to help market researchers, CX professionals, and consultants uncover deep insights from their open-ended text. Caplena’s story began when co-founders, Maurice and Pascal, realized that most market research firms that handle customer feedback face the same issue: Too many open ends and not enough time to accurately analyze them. Since its inception in the Spring of 2018, Caplena has analyzed over 50 million responses, with 120 new projects added each week. Today Caplena is the text analytics tool of choice for over 100 companies in more than 15 countries, boasting customers such as Swisscom, eBay, DHL, Coop, and Joyn.

The Clarabridge Platform aggregates all VoC data, customer interactions and feedback, into a single platform. We use AI-powered speech and text analytics, with the industry’s best Natural Language Understanding (NLU), to evaluate the conversations your customers and employees are having every day in phone calls, live chats, private messages and on social media. Clarabridge gives you timely answers about ease of doing business (Effort), customer loyalty and emotions, root cause of NPS change, churn or high contact volume and much more. Clarabridge insights help you make decisions, act fast, and track results. Partner with Clarabridge, whose solutions are purpose-built for customer experience and backed by an AI-powered best-in-class text analytics engine, to transcend from complexity to clarity and truly understand every customer interaction. Clarabridge is the only platform that provides a highly effective means of capturing what customers are saying.

Find specific answers and trends from documents and websites using search powered by AI. Watson Discovery is AI-powered search and text-analytics that uses innovative, market-leading natural language processing to understand your industry’s unique language. It finds answers in your content fast and uncovers meaningful business insights from your documents, webpages and big data, cutting research time by more than 75%. Semantic search is much more than keyword search. Unlike traditional search engines, when you ask a question, Watson Discovery adds context to the answer. It quickly combs through content in your connected data sources, pinpoints the most relevant passage and provides the source documents or webpage. A next-level search experience with natural language processing that makes all necessary information easily accessible. Use machine learning to visually label text, tables and images, while surfacing the most relevant results.

ExB offers an AI and ML Driven Cognitive Process Automation platform that allows insurance companies to convert any form of text into actionable information and insights for input management and process automation. Insurers can implement ready-to-use pre-trained policy management, claims management, text mining in reports, and invoice assessment modules, request us to train ad-hoc models for their unique business workflows, or directly utilize our Cognitive Workbench to independently create and train any sort of text mining and end-to-end input management models.

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.

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.

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.

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.

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.

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.

Unlock your sales team's potential with the power of machine learning. First, SetSail automatically captures and enriches your customer and activity data so that your team doesn’t have to. We then build a unique machine learning model for your business, which calculates account/deal health using the CRM data and communication sentiment, leveraging the latest natural language processing (NLP) techniques. Our models prioritize objective signals, such as sentiment in customer conversations, over self-reported measures like deal stages. Powered by the machine learning engine, SetSail surfaces insights that allow reps, managers, and executives to view pipeline health in real-time. This powerful tool can break down data by rep, deal, account, and conversation topic to identify performance issues and deal blockers. Pinpoint and fix areas of weakness before they hit your bottom line.

RapidMiner is reinventing enterprise AI so that anyone has the power to positively shape the future. We’re doing this by enabling ‘data loving’ people of all skill levels, across the enterprise, to rapidly create and operate AI solutions to drive immediate business impact. We offer an end-to-end platform that unifies data prep, machine learning, and model operations with a user experience that provides depth for data scientists and simplifies complex tasks for everyone else. Our Center of Excellence methodology and the RapidMiner Academy ensures customers are successful, no matter their experience or resource levels. Simplify operations, no matter how complex models are, or how they were created. Deploy, evaluate, compare, monitor, manage and swap any model. Solve your business issues faster with sharper insights and predictive models, no one understands the business problem like you do.

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.

Unified customer feedback analytics for the world's fastest growing companies. Gain an edge by unifying, measuring and analyzing all your customer feedback in real time with Chattermill. Pipe every source of feedback and customer interaction into one place with easy to use, collaborative platform. Use groundbreaking theme and sentiment AI to see how customers feel about your product, stay on top of emerging topics and understand what keeps them coming back. Filter and interpret the underlying layers of meaning within your data to instantly gauge what's driving customer experience. Analyze signals within your customer feedback to accurately identify and predict opportunities to drive revenue, advocacy and retention across each and every touchpoint

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.

OSOS by Mozn is an advanced artificial intelligence (AI) platform specifically designed to understand and process the Arabic language. It is described as the most accurate large language model (LLM) built to handle the complexities inherent in Arabic. OSOS stands out for its proficiency in Arabic Natural Language Understanding (NLU), boasting the fastest and most scalable Arabic text analytics algorithms available. This platform is part of Mozn's ambitious initiative to develop the world’s largest and most effective Arabic language models. Additionally, OSOS functions as an AI-powered search engine, offering a variety of functionalities such as content generation and question answering, aimed at enhancing decision-making and operational efficiency for organizations​.

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.

NetOwl TextMiner combines our award winning NetOwl Extractor with Elasticsearch to provide unique text analytics software. TextMiner leverages all aspects of NetOwl capabilities and is ideal for supporting “what if” analysis, discovery, quick response investigation, and detailed research. NetOwl TextMiner integrates all text analytics capabilities of NetOwl Extractor, including entity extraction, relationship, and event extraction, sentiment analysis, text categorization, and geotagging into all-encompassing text mining software. Extractor output is stored in Elasticsearch for a variety of intelligent search and analytic capabilities. The combination of Elasticsearch and NetOwl provides fast and scalable real-time text analysis for Big Data. TextMiner’s Web-based UI is an easy to use and configurable text analytics tool for different analysis scenarios and enables users to gain quick access to all and only high-value information derived from a vast amount of texts.

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.

Build applications with conversational language understanding, an AI language feature that understands natural language to interpret user goals and extract key information from conversational phrases. Create multilingual, customizable intent classification and entity extraction models for your domain-specific keywords or phrases across 96 languages. Train in one natural language and use them in multiple languages without retraining. Quickly create intents and entities and label your own utterances. Add prebuilt components from a wide variety of commonly available types. Evaluate with built-in quantitative measurements like precision and recall. Use the simple dashboard to manage model deployments in the intuitive and user-friendly language studio. Use seamlessly with other features within Azure AI Language, as well as Azure Bot Service for an end-to-end conversational solution. Conversational language understanding is the next generation of Language Understanding (LUIS).

NetOwl Extractor offers highly accurate, fast, and scalable entity extraction in multiple languages using AI-based natural language processing and machine learning technologies. NetOwl's named entity recognition software can be deployed on premises or in the cloud, enabling a variety of Big Data Text Analytics applications. With over 100 types of entities, NetOwl offers a broad semantic ontology for entity extraction that goes beyond that of standard named entity extraction software. It includes people, various types of organizations (e.g., companies, governments), several types of places (e.g., countries, cities), addresses, artifacts, phone numbers, titles, etc. This expansive named entity recognition (NER) forms the foundation for more advanced relationship extraction and event extraction. Domains include Business, Finance, Politics, Homeland Security, Law Enforcement, Military, National Security, and Social Media.

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. No machine learning experience required. There is a treasure trove of potential sitting in your unstructured data. Customer emails, support tickets, product reviews, social media, even advertising copy represents insights into customer sentiment that can be put to work for your business. The question is how to get at it? As it turns out, Machine learning is particularly good at accurately identifying specific items of interest inside vast swathes of text (such as finding company names in analyst reports), and can learn the sentiment hidden inside language (identifying negative reviews, or positive customer interactions with customer service agents), at almost limitless scale. Amazon Comprehend uses machine learning to help you uncover the insights and relationships in your unstructured data.

Attivio is unique in its ability to unify and analyze all types of enterprise information from a single platform. Gone is the necessity and challenge of integrating separate search, text mining, and BI tools. Correlating facts across applications and data repositories, Attivio is the fastest path to understanding and using 100% of the information that drives your innovation and operations. Whether you are developing new solutions on emerging sources or integrating siloed apps and their repositories, Attivio’s Insight Engine can profile, identify, and unify every source, regardless of its location or format. Don’t settle for anything less than a complete 360-degree view. Learn why independent analysts recognize Attivio as a leading provider of solutions that analyze unstructured content, correlate those results with structured information, and deliver actionable insight.

At the intersection of Customer Experience and Business Intelligence, Customer Intelligence reveals the critical connection between your customer's thoughts and feelings and the metrics driving business. Explore gives you the power to develop the Answers your company needs to make impactful decisions. You have collected the thoughts and feelings of your customers in various feedback, survey and customer support systems. Start putting this data into OdinExplore to understand at scale. Find which topics are most impactful to your customers by exploring the topics in their feedback. Explore auto-terms, create important topics, apply dictionaries, and analyze emotions and sentiment. Create segments based on specific demographics, ratings, or time periods to discover and highlight the distinctions between different groups of people. Run multiple experiments to gain new perspectives on different customer segments, products, and more.

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.

Streamline the capture, recognition and classification of business documents. IBM® Datacap software is a key capability of the IBM Cloud Pak® for Business Automation. It streamlines the capture, recognition and classification of business documents. Its natural language processing, text analytics and machine learning technologies identify, classify and extract content from unstructured or variable paper documents. Supports multichannel input from scanners, faxes, emails, digital files such as PDF, and images from applications and mobile devices. Uses machine learning to automate the processing of complex or unknown formats and highly variable documents difficult to capture with traditional systems. Enables you to export documents and information to a range of applications and content repositories from IBM and other vendors. Offers configuration of capture workflows and applications using a simple point-and-click interface to speed deployment.

Baidu Natural Language Processing, based on Baidu’s immense data accumulation, is devoted to developing cutting-edge natural language processing and knowledge graph technologies. Natural Language Processing has open several core abilities and solutions, including more than ten kinds of abilities such as sentiment analysis, address recognition, and customer comments analysis. Based on word segmentation, part-of-speech tagging, and named entity recognition technology, lexical analysis allows you to locate basic language elements, get rid of ambiguity, and support accurate understanding. Based on deep neural networks and massive high-quality data on the internet, semantic similarity is possible to calculate the similarity of two words through vectorization of words, meeting the business scenario requirements for high precision. Word vector representation can calculate texts through the vectorization of words and it can help you quickly complete semantic mining.

The Linguamatics I2E application has a proven track record in delivering best of breed text mining capabilities across a broad range of application areas. Its agile nature allows tuning of query strategies to deliver the precision and recall needed for specific tasks, but at an enterprise scale. I2E is an agile and interactive text mining application for the extraction and analysis of information. Because of its underlying Natural Language Processing (NLP) technology, I2E is particularly strong in its ability to answer a wide range of questions, from apparently simple open queries to questions that need advanced linguistic analytics. I2E can speed many research and development and clinical processes. Tasks that used to take months, or were previously not feasible with manual methods, can be done in hours or minutes. According to customers, I2E gets to actionable results at least 10 times faster than a traditional keyword search.

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.

Alvaria Engagement Analytics surfaces valuable insights into quality, operational efficiency and customer satisfaction across all customer communication channels. Use superior LVCSR technology to establish context and eliminate ambiguity in word recognition. LVCSR provides higher speech recognition accuracy, faster searches and a full transcript than phonetic systems. Use the benefits of full transcription available with LVCSR technology to identify key issues that analysts would not otherwise know to look for – e.g., recognize language patterns, automate the identification of important new topics, apply cluster analysis. Make the complexities of PCI compliance much simpler with an easy-to-use redaction feature. Easily understand the results of automated and manual data searches to deliver the most valuable insights.

The voice of your customer comes from more than just surveys. Customer feedback insights. Aggregated across channels, analyzed with AI in real-time, and delivered to SaaS leaders to drive better growth strategies using LoopVOC. All of your customer feedback together and analyzed in one place. AI-powered text analytics serve up customer insights so that you can spend less time searching for the problem and more time creating the solutions. And because our topic-modeling is out-of-the-box, and specific to B2B SaaS, your team can get started right away. It’s real time voice of the customer. No more guessing about what customers want. With visibility into the greatest risks and opportunities across the customer journey, your team can proactively identify issues impacting growth and build a collaborative customer program that drives impact for your customers and your bottom line.

Social Smart for Engagement allows companies to exponentially market themselves via social media while maintaining full compliance. Social Smart for Research allows organizations to improve their interactions by helping them to curate excellent content and providing them with the pertinent information and flexible content repositories. Social Smart for Compliance allows organizations to leverage social media in low risk compliant manner based industry or company-specific compliance policies set up by your organization. Social Smart Sentiment Analysis lets you understand and analyze the social media sentiment around any entity on social media including companies, stocks and brands.

Analyze text with viztext 2D & 3D mapping text analysis topic modeling, sentiment analysis, word cloud. A unique machine learning algorithm to visualize topics in the text you want to discover. Text analysis provides topic modelling with navigation through 2D/ 3D maps. Uses referential framework to make logical relational topic analysis with zoom-in and zoom-out features on 2D and 3D maps including colorful word cloud. Analysis on the level of sentiment in the text with pie chart on ratio between positive, negative and neutral. Graphs top entities in the text with percentage as well as highlights in the text with entity type: government, person, organization, etc. Simple drag and drop, upload text file or paste text from the web or social media posts or enter HTTP address for a website that contains text article you like to analyze.

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.

Social insights for the world's most impactful brands. Your reputation is everything. Make sure it’s protected, globally. Talkwalker is your extra set of eyes and ears. Its AI powered analysis provides real time insights into what's happening on all social channels and online media, across 187 languages. This enables you to quickly identify issues and complaints before a crisis hits. Benchmark your brand and campaigns with our proven KPI frameworks. Measure sentiment and brand health. Connect social efforts to real business results and provide your management with instant reports. Compare your results to the competition, across every channel. Discover what customers really think about your brands and products in real time. Maximize the social performance of your communication campaigns with data-driven technology. Find the best stories and the true influencers to boost your brand power. With Quick Search, spot the trending stories on your brand and industry, in real time.

Extract information from a collection of text documents and uncover the themes and concepts that are concealed in them. SAS Text Miner enables you to combine quantitative variables with unstructured text and thereby incorporate text mining with other traditional data mining techniques. SAS Text Miner is a component of SAS® Enterprise Miner. SAS Enterprise Miner must be installed on the same machine. SAS High-Performance Text Mining runs on a computer grid or a single computer system with multiple CPUs. Text algorithms are multi-threaded and process in-memory, which increases responsiveness and concurrency, reducing I/O burden. It is accessible as nodes within the SAS High-Performance Data Mining environment or as two procedures PROC HPTMINE and PROC HPTMSCORE. Learn SAS technology quickly and efficiently by taking a course from the analytics experts.