Best Text Mining Software for Microsoft SharePoint

Compare the Top Text Mining Software that integrates with Microsoft SharePoint as of November 2026

This a list of Text Mining software that integrates with Microsoft SharePoint. Use the filters on the left to add additional filters for products that have integrations with Microsoft SharePoint. View the products that work with Microsoft SharePoint in the table below.

What is Text Mining Software for Microsoft SharePoint?

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

  • 1
    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
    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
  • 4
    Docugami

    Docugami

    Docugami

    Document engineering empowers business users with an impact on day one, without any massive investment in machine learning, staff training, or IT development. Analyze agreements for risk, pricing, and obligations.​ Avoid costly penalties, and escalators due to delays. Transform carrier plans into data, so your brokers can focus on selling, not data entry. Cut costs, and improve quality vs annual temp staffing. Scour your MSAs and SOWs for deliverables, pricing, liabilities, and legal risk.​ ​Avoid expensive surprises. Cut the cost of diligence in transactions. Identify price variations, renewal deadlines, sub-lease options, and tax issues across entire portfolios. Comply with tax laws, optimize rents, and avoid fees. Unlock the data in your unique documents to increase productivity, compliance, and insight. Re-paper legacy licenses to comply with new regulatory and customer requirements. Assure quality reviews and documentation.
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