Compare the Top Text Mining Software for Linux as of April 2025

What is Text Mining Software for Linux?

Text mining software is a type of software that uses natural language processing (NLP) and machine learning to analyze text data. It can aid in collecting, analyzing, and organizing unstructured data from websites, emails, documents, and other sources for various applications. Text mining software has the capability to crawl web page content or conduct keyword searches to retrieve relevant information. Depending on the purpose, it can also identify relationships between topics or extract terms from different languages. Compare and read user reviews of the best Text Mining software for Linux currently available using the table below. This list is updated regularly.

  • 1
    MeaningCloud

    MeaningCloud

    MeaningCloud

    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.
    Starting Price: $99 per month
  • 2
    TAS Insight Engine
    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).
    Starting Price: €550 EUR / month / user
  • 3
    Semantria

    Semantria

    Lexalytics

    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.
  • 4
    Cognitive Workbench
    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.
  • 5
    Lexalytics

    Lexalytics

    Lexalytics

    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.
  • 6
    Salience

    Salience

    Lexalytics

    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.
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