Best Text Analytics Software

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!)

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.

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.

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.

*GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs.* GraphDB is a highly efficient and robust graph database with RDF and SPARQL support. The GraphDB database supports a highly available replication cluster, which has been proven in a number of enterprise use cases that required resilience in data loading and query answering. If you need a quick overview of GraphDB or a download link to its latest releases, please visit the GraphDB product section. GraphDB uses RDF4J as a library, utilizing its APIs for storage and querying, as well as the support for a wide variety of query languages (e.g., SPARQL and SeRQL) and RDF syntaxes (e.g., RDF/XML, N3, Turtle).

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.

QCAmap is an open access web application for systematic text analysis in scientific projects based on the techniques of qualitative content analysis. QCAmap can be used within research projects in e.g. psychology, sociology, education, economics, linguistic sciences, to analyze small and large amounts of any text material and images coming from interviews, group discussions, observation protocols, documents, open-ended questionnaire items and others. Qualitative Content Analysis is a strictly rule-guided procedure containing qualitative steps (assignment of categories to text passages and images) and quantitative steps (analysis of category frequencies). We have developed a web-based interactive software package, which leads you step by step through the different techniques of Qualitative Content Analysis. The software is free available. All your old projects are migrated to the new version and can be used as normal.

Analyze data, collaborate on insights, and build your research repository. Discover opportunities and become a hero in your team. Discover patterns across a variety of qualitative research methods, unstructured data, and video files. Dovetail is analysis software you’ll love to use. Dovetail is a powerful way to discover patterns across interviews, usability testing, survey responses, and more. Organize tags into a hierarchy with intuitive controls like drag & drop, and extend your project with global tags. Turn qualitative data into quantitative data with highlights, and visualize your work with a variety of beautiful charts. Simply select text and highlight to add tags. Transcribe video recordings, discover patterns across interviews, usability tests, survey responses, and more. Turn qualitative data into quantitative data. Chart, filter, and segment themes across interview notes, transcripts, survey responses, and more.

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.

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.

The text analysis software RogTCS enables a fast and automated evaluation of open questions and this in a clear presentation. TCS stands for “Text, Cluster, Sentiment“. This describes how the text analysis software works: RogTCS analyses the answers to open text questions in your surveys in a few moments, without any manual pre-processing or coding. The text is analyzed with regard to the topics and the sentiment, i.e. Is a statement positive or negative? The results are presented clearly in a semantic map or as a table. In this way, you can take full advantage of qualitative aspects in quantitative market feedback, in a completely automated manner and irrespective of the size of the data volume. RogTCS relieves you of the time-consuming and costly task of manually evaluating large amounts of data from open text entries. This not only saves time, but also money. With RogTCS, you can rely on the highest and most consistent quality in the analysis and utilization of your data.

If you need to solve a problem with text analysis or language processing, you're in the right place! GATE is an open source software toolkit capable of solving almost any text processing problem. It has a mature and extensive community of developers, users, educators, students and scientists. It is used by corporations, SMEs, research labs and Universities worldwide. It has a world-class team of language processing developers. GATE is open source free software, users can obtain free support from the user and developer community via GATE.ac.uk or on a commercial basis from our industrial partners. We are the biggest open source language processing project with a development team more than double the size of the largest comparable projects (many of which are integrated with GATE2). More than €5 million has been invested in GATE development3, our objective is to make sure that this continues to be money well spent for all GATE's users.

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.

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.

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.

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.

Kapiche is an insights and analytics product built to make sense of customer feedback data, empowering you to improve decision-making and positively impact your company’s bottom line. Combine multiple data sources and analyze 1,000s of customer feedback responses in minutes. No setup, no manual coding, no code frames. Uncover insights in minutes, not weeks. Have complete confidence in your analysis and answer business questions easily, with deep, actionable insights from any customer data source. In minutes, not weeks. Use the insights uncovered by your insights analysts to ensure buy-in to your CX programs across the organization and drive impactful, customer-centric change. You’ll never make the most impactful business decisions using only quantitative customer data. The richest insights are found at the intersection of qualitative and quantitative data from every stage of the customer journey.

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.

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.