Conversus.AI Alternatives

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.

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.

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.

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.

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.

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!)

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.

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.

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.

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.

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.

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.

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).

Extract actionable business intelligence from unstructured data across web chat, email, social media, and call notes to drive an enhanced insight into your customer experience (CX). Use multichannel analytics to better understand your multichannel customers. Your customers are now multichannel and as a result your customer and employee analytics must also be multichannel. While voice remains a critical channel, customers are increasingly choosing digital customer service channels such as chat, email and social media. Adding Text Analytics gives you a holistic analysis of your customer engagement strategy.

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.

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.

Our NLP uncovers insight from text at scale with an accuracy that is unrivaled in the industry and with the flexibility to integrate into your specific business and workflow requirements. Achieve meaningful, repeatable results. Many of our models in production achieve greater than 90% accuracy in precision and recall. Compared with the industry average of 68%, it’s no surprise why Amenity’s NLP is trusted by some of the largest players across multiple industries. Extract value-relevant text, while ignoring noise. Our NLP extracts, distills, and structures text from millions of documents into actionable business insights. It determines the context and meaning of text and how they might change from the phrase to the paragraph. Transform any source of text into industry-specific analysis and sentiment tied to business events with a clear view on the “why” behind the results. No black boxes here. Our NLP is configurable to what you need and where you need it.

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.

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.

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.

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.

Given the sea of content, your business generates, identifies, and processes only text that is of interest to you, quickly, accurately, and efficiently. Regardless of your business needs, operational agility, faster decisions, obtaining customer insights or more, teXai, a Forbes recognized text analytics company, helps you take advantage of text to propel your business forward. teXai's powerful customizable preprocessor engine identifies and extracts objects of your interest in the nooks and crannies of your organization’s emails, text messages, tables, website, social media, archives, or any documents of your choice. Its intelligent customizable linguistic application identifies text genre, groups, similar content and creates concise summaries so that your business teams can obtain the right context from the right text. The easy-to-use text analytics software extracts the essence of your text and simplifies the decision-making process.

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.

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.

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.

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.

Etuma text analysis service turns all your open-ended customer feedback into consistent and actionable information. You receive high volumes of open-text feedback comments from multiple channels, and you struggle with systematically turning them into actionable insight in a timely manner. Manually reading and categorizing all comments is slow, expensive, and inconsistent. You’ve tried keyword analysis, but it doesn’t provide statistically meaningful or actionable information. Feedback results from different processes and channels are not aggregated, so a lot of valuable information gets lost in organizational silos where it can only be utilized by those who have access to it. Etuma has existing connectors to dozens of survey, customer experience management, and contact center platforms. You can also connect any spontaneous feedback channel like email or webforms.

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.

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.

Important insights that enterprises require to serve customers and make decisions are buried in silos in huge volumes of data like invoices, physical contracts, applications, and more. Yet, 80% of enterprise data remains unstructured, and traditional approaches have failed to move the needle towards true automation. Unlocking this insightful information means transforming the customer journey, from onboarding to borrowing. What if you could automatically understand unstructured data that came into your organization, from emails and statements to customer data and contracts? Instabase is powering solutions that drive revenue and transform the bottom line across industries, from banking and insurance to healthcare and federal government. Swap between the best deep learning models as they emerge from Instabase and the market; host and run third-party models directly on the platform. Revolutionize how you serve customers and transform the cost base.

Scraawl is a suite of data analytics tools designed to empower you to gain more from your data. Whether your problem set focuses on publicly available data, images and video, unstructured text, or all of the above, Scraawl has powerful tools to enhance your analyses. Scraawl leverages state-of-the-art artificial intelligence and machine learning techniques to provide actionable insights through analytics. Our team is a multi-disciplinary group of developers, researchers, and data scientists dedicated to bringing cutting edge analytics to users. Scraawl SocL® is an enterprise-level, easy-to-use, web-based PAI listening and analytics tool. Scraawl SocL® searches, analyzes, and visualizes online conversations and news data, providing a user with a detailed 360-degree analysis.

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.

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.

Access, explore and prepare data while discovering new trends and patterns. SAS Visual Data Science helps you create and share smart visualizations and interactive reports through a single, self-service interface. It uses machine learning, text analytics and econometrics capabilities for better forecasting and optimization, plus it manages and registers SAS and open-source models within projects or as standalone models. Visualize and discover relevant relationships in your data. Create and share interactive reports and dashboards, and use self-service analytics to quickly assess probable outcomes for smarter, more data-driven decisions. Explore data and build or adjust predictive analytical models with this solution running in SAS® Viya®. Data scientists, statisticians, and analysts can collaborate and iteratively refine models for each segment or group to make decisions based on accurate insights.

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.

Creating a topic model from scratch takes advanced programming know-how. This expertise is expensive, and supersedes the knowledge that matters most: familiarity with your data. Labeling your own training data is slow, tedious, and costly. Farming it out to workers paid a low wage is faster and cheaper, but compromises accuracy and nuance. Either approach leaves you stuck with a fixed taxonomy that's hard to evolve. It’s time to stop tagging. Free subject matter experts to model and analyze their own data. You've got mountains of text data, filled with insights just waiting to be mined. And Pienso is here to help. Pienso is designed to train models with your own data, because we know that works best. Whether your data is unstructured or semi-structured, long or short, Pienso can help you parse it into insight.

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.

Digsite’s leading agile insights technology enables teams to quickly learn and iterate with consumers. Recruit and launch a Digsite Sprint community in as little as 24 hours. Answer “why” questions, capture photos and video of experiences, and iterate on ideas under development. Digsite's interactive SmartDashboard makes it fast and easy to report on your research. Use our automated natural language processing and text analytics to identify and feature key qualitative results, and download your editable report right into PowerPoint. We make it easy to find your target audience. Access our panel of pre-qualified participants, micro-target your audience via our SocialFind recruiting, or use your own customer list. We built research expertise right into the platform. Our discussion guide templates can be customized to your needs. Guided support and full-service options are available.

Machine Learning and Predictive Analytics Platform. Augment data-driven decision making and accelerate business with advanced artificial intelligence in a pre-built machine learning and big data analytics platform. OpenText Magellan uses AI technologies to provide predictive analytics in easy to consume and flexible data visualizations that maximize the value of business intelligence. Artificial intelligence software eliminates the need for manual big data processing by presenting valuable business insights in a way that is accessible and related to the most critical objectives of the organization. By augmenting business processes through a curated mix of capabilities, including predictive modeling, data discovery tools, data mining techniques, IoT data analytics and more, organizations can use their data to improve decision making based on real business intelligence and analytics.

PolyAnalyst is a data analysis software used by large organizations across several industries (Insurance, Manufacturing, Finance, etc.). Some of its most notable features and capabilities include its use of a visual composer for complex data analysis modeling rather than coding/programming. It couples structured and poly-structured forms of data for unified analysis (ie multiple-choice questions and open-ended responses) and it can process text data in over 16+ different languages. PolyAnalyst has many features that meet comprehensive data analysis needs, such as loading data, cleansing and preparing data for analysis, deploying machine learning and supervised analysis techniques, and building reports that non-analysts can use to uncover insights.

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.

• 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 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.

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.

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.

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.

An adaptable platform for text analysis and discovery. Built for the most demanding text analytics applications and engineered to deliver high accuracy without sacrificing speed. A fully adaptable platform that is an ideal foundation for natural language processing applications. Text analytics fundamentals to prepare your data for analysis. Language-specific tools for tokenization, part-of-speech tagging, lemmatization, decompounding, and Chinese and Japanese readings for your input. Every language, including English, presents unique and difficult challenges for search applications to deliver relevant and precise results. Rosette® Base Linguistics (RBL) enables enterprise applications to effectively search or process text in many languages by providing a complete set of linguistic services. RBL enriches the original text in its native language for best-of-class natural language processing, improving speed and accuracy.

An end-to-end platform that provides various machine learning algorithms to meet your data mining and analysis requirements. Machine Learning Platform for AI provides end-to-end machine learning services, including data processing, feature engineering, model training, model prediction, and model evaluation. Machine learning platform for AI combines all of these services to make AI more accessible than ever. Machine Learning Platform for AI provides a visualized web interface allowing you to create experiments by dragging and dropping different components to the canvas. Machine learning modeling is a simple, step-by-step procedure, improving efficiencies and reducing costs when creating an experiment. Machine Learning Platform for AI provides more than one hundred algorithm components, covering such scenarios as regression, classification, clustering, text analysis, finance, and time series.

Artificio is an innovative automation tool developed by Artificio Products Inc, designed to revolutionize data processing and eliminate manual data entry. This cutting-edge software utilizes state-of-the-art AI and machine learning models to extract, segregate, validate, and integrate unstructured datasets from different sources, including texts, PDFs, and images. By converting unstructured information into structured data, Artificio empowers businesses to unlock the full potential of digital intelligence.