Showing 6 open source projects for "java spam detection"

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  • 1
    Apache OpenNLP

    Apache OpenNLP

    Apache OpenNLP

    Apache OpenNLP is a machine learning-based NLP library that provides tools for text-processing tasks such as tokenization, sentence segmentation, and named entity recognition.
    Downloads: 1 This Week
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  • 2
    TIES

    TIES

    A smart search engine for medical documents

    TIES (Text Information Extraction System) is a clinical text search engine that uses Natural Language Processing techniques to extract medical concepts from free text clinical reports. It provides secure de-identified access to this information and has in built collaboration tools and honest broker functionality. It is licensed for academic use under the BSD license. For commercial use please contact Nexi at http://nexihub.com *** NOTICE: this software and forum are no longer...
    Downloads: 0 This Week
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  • 3
    mbFXWords

    mbFXWords

    Analyze text. Diagonal read subject, predicate, obj. Search other pdf.

    ...Automatic language detection.
    Downloads: 0 This Week
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  • 4
    The BioNLP UIMA Component Repository provides UIMA wrappers for novel and well-known 3rd-party NLP tools used in biomedical text prosessing, such as tokenizers, parsers, named entity taggers, and tools for evaluation.
    Downloads: 0 This Week
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  • 5

    OPTIMA cidoc-crm Semantic Annotation

    Semantic annotation of archaeology reports with respect to CIDOC-CRM

    The semantic annotation system OPTIMA is the result of Andreas Vlachidis PhD work, (supervised by Prof. Douglas Tudhope, University of Glamorgan, UK). OPTIMA performs the NLP tasks of Named Entity Recognition, Relation Extraction, Negation Detection and Word Sense Disambiguation using hand-crafted rules and SKOS terminological resources (English Heritage Thesauri and Glossaries). The resulted semantic annotations are associated with classes of the (ISO 21127:2006) CIDOC Conceptual...
    Downloads: 0 This Week
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  • 6
    Grok is a library of natural language processing components, including support for parsing with categorial grammars and various preprocessing tasks such as part-of-speech tagging, sentence detection, and tokenization.
    Downloads: 0 This Week
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