Compare the Top Text Mining Software for Windows as of October 2026

What is Text Mining Software for Windows?

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 Windows currently available using the table below. This list is updated regularly.

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    PolyAnalyst

    PolyAnalyst

    Megaputer Intelligence

    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.
  • 2
    Grooper
    Grooper is an AI-powered intelligent document processing (IDP) platform for organizations that cannot accept black-box answers. It classifies documents and extracts data from any source: paper, PDFs, email, faxes, handwriting, and legacy archives. What makes Grooper different is control. Roughly 57 extraction methods span rule-based and AI families, chosen per field, so AI is a choice, never a dependency. ReadScope lets you set exactly what the AI reads for every field; the model can't misread what it was never shown. Every extracted value keeps its receipt: where it came from, how it was extracted, what the AI saw, and who checked it. One system covers scanning, OCR (6 engines), classification, extraction, human review, redaction, and delivery. Deploy on your hardware (including AI on your own GPUs), in your cloud tenant, or hosted by BIS, the self-funded Oklahoma City company that has built document technology since 1986.
  • 3
    Caplena

    Caplena

    Caplena

    • 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.
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