Showing 3 open source projects for "java text mining preprocessing"

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  • 1
    Weka

    Weka

    Machine learning software to solve data mining problems

    Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code.
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    Downloads: 13,014 This Week
    Last Update:
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  • 2
    GNAT

    GNAT

    GNAT recognizes gene names in text and maps them to NCBI Entrez Gene

    GNAT is a BioNLP/text mining tool to recognize and identify gene/protein names in natural language text. It will detect mentions of genes in text, such as PubMed/Medline abstracts, and disambiguate them to remove false positives and map them to the correct entry in the NCBI Entrez Gene database by gene ID. March 2017: We started to upload GNAT output on Medline. See files/results/medline/.
    Downloads: 2 This Week
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  • 3
    Moara is a biological text mining tool and consists of a Java library and some auxiliary MySQL databases for gene/protein training and extraction of mentions and its further normalization and disambiguation.
    Downloads: 0 This Week
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