Best Free Text Mining Software

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.

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.

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.

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.

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.

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

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

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.

Tisane is NLU API with a focus on abusive content and law enforcement needs. Tisane detects: * hate speech * cyberbullying * criminal activity * sexual advances * attempts to establish external contact and more. Tisane classifies the actual issue, and pinpoints the offending text fragment; optionally, explanation can be supplied for a sanity check or audit purposes. Tisane supports 30 languages, even if the text contains slang and obfuscation.

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.