Best Text Mining Software

What is Text Mining Software?

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

  • 1
    Google Cloud Natural Language API
    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.
  • 2
    NaturalText

    NaturalText

    NaturalText

    NaturalText A.I. helps you get more out of your data. Discover relationships, create collections, and unveil hidden insights in documents and other text-based data. NaturalText A.I. uses novel artificial intelligence technology to uncover hidden relationships in data. The software uses various state-of-the-art methods to understand context, analyze patterns, and reveal insights—all in a human-readable way. Reveal insights hidden in your data. Finding everything hidden in your text data is a difficult, if not impossible, task. With traditional search, you can only locate information related to a document. NaturalText A.I., on the other hand, uncovers new information within millions of documents, including scientific papers and patents. Use NaturalText A.I. to reveal insights in the data you are currently missing.
    Starting Price: $5000.00
  • 3
    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.
  • 4
    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.
  • 5
    Luminoso

    Luminoso

    Luminoso Technologies Inc.

    Luminoso turns unstructured text data into business-critical insights. Using common-sense artificial intelligence to understand language, we empower organizations to discover, interpret, and act on what people are telling them. Requiring little setup, maintenance, training, or data input, Luminoso combines world-leading natural language understanding technology with a vast knowledge base to learn words from context – like humans do – and accurately analyze text in minutes, not months. Our software provides native support in over a dozen languages, so leaders can explore relationships in data, make sense of feedback, and triage inquiries to drive value, fast. Luminoso is privately held and headquartered in Boston, MA.
    Starting Price: $1250/month
  • 6
    OpenText Magellan
    Machine Learning and Predictive Analytics Platform. Augment data-driven decision making and accelerate business with advanced artificial intelligence in a pre-built machine learning and big data analytics platform. OpenText Magellan uses AI technologies to provide predictive analytics in easy to consume and flexible data visualizations that maximize the value of business intelligence. Artificial intelligence software eliminates the need for manual big data processing by presenting valuable business insights in a way that is accessible and related to the most critical objectives of the organization. By augmenting business processes through a curated mix of capabilities, including predictive modeling, data discovery tools, data mining techniques, IoT data analytics and more, organizations can use their data to improve decision making based on real business intelligence and analytics.
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