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  2. List of text mining software - Wikipedia

    en.wikipedia.org/wiki/List_of_text_mining_software

    Angoss – Angoss Text Analytics provides entity and theme extraction, topic categorization, sentiment analysis and document summarization capabilities via the embedded; AUTINDEX – is a commercial text mining software package based on sophisticated linguistics by IAI (Institute for Applied Information Sciences), Saarbrücken.

  3. Text mining - Wikipedia

    en.wikipedia.org/wiki/Text_mining

    Text mining, text data mining (TDM) or text analytics is the process of deriving high-quality information from text. It involves "the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources." [1] Written resources may include websites, books, emails, reviews, and ...

  4. Apache cTAKES - Wikipedia

    en.wikipedia.org/wiki/Apache_cTAKES

    Apache cTAKES: clinical Text Analysis and Knowledge Extraction System is an open-source Natural Language Processing (NLP) system that extracts clinical information from electronic health record unstructured text. It processes clinical notes, identifying types of clinical named entities — drugs, diseases/disorders, signs/symptoms, anatomical ...

  5. Apache Tika - Wikipedia

    en.wikipedia.org/wiki/Apache_Tika

    Apache Tika is a content detection and analysis framework, written in Java, stewarded at the Apache Software Foundation. [2] It detects and extracts metadata and text from over a thousand different file types, and as well as providing a Java library, has server and command-line editions suitable for use from other programming languages.

  6. WordStat - Wikipedia

    en.wikipedia.org/wiki/WordStat

    WordStat is a content analysis and text mining software. [1] ... content analysis of open-ended questions, theme extraction from social media data, ...

  7. General Architecture for Text Engineering - Wikipedia

    en.wikipedia.org/wiki/General_Architecture_for...

    General Architecture for Text Engineering (GATE) is a Java suite of natural language processing (NLP) tools for man tasks, including information extraction in many languages. [1] It is now used worldwide by a wide community of scientists, companies, teachers and students. It was originally developed at the University of Sheffield beginning in 1995.

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