Showing 4 open source projects for "text mining"

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    General Knowledge Machine Project

    General Knowledge Machine Project

    Intellect Modeling Kit: assisting research, diagnostics, consulting

    ...Intellect Modeling Kit (IMK) is intended to build knowledge machines (KM) assisting experts on the steps of activity: * Observation; * Producing propositions based on knowledge; * Elimination of impossible propositions; * Selection and verification of the most appropriate propositions; * Memorizing - new knowledge item creation; * Abstraction – building objects representing typical signs of similar objects groups, data mining. KM is not intended to replace human experts, it is built to multiply abilities. Machine should not be responsible for decisions. The IMK is designed to create ready-to-use software applications using simple text files. Any human knowledge can be uploaded to KM by expert not familiar with software coding. Demos present in kit. ...
    Downloads: 5 This Week
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  • 2
    The Lemur Project

    The Lemur Project

    Search engine and data mining applications and ClueWeb datasets.

    The Lemur Project develops search engines, browser toolbars, text analysis tools, and data resources that support research and development of information retrieval and text mining software, including the Indri search engine in C++, the Galago search engine research framework in Java, the RankLib learning to rank library, ClueWeb09 and ClueWeb12 datasets and the Sifaka data mining application.
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    Downloads: 35 This Week
    Last Update:
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  • 3
    QAL

    QAL

    Query Abstraction Layer

    ...It is currently distributed as a Python 3 Library (pip3 install python3-qal) and Debian .deb package. It is related the Optimal BPM project, see its Optimal Sync application for usage examples. The text of this page is released under the Creative Commons Zero Waiver 1.0 (CC0).
    Downloads: 0 This Week
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  • 4
    Wikipedia Concept Association Map (WCAM) is new approach for textual knowledge representation and understanding. All concepts and associations are stored in a graph database for better performance and easy distribution.
    Downloads: 0 This Week
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