Showing 2 open source projects for "ai summarize documents"

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  • 1
    Unsupervised TXT classifier

    Unsupervised TXT classifier

    Classify any two TXT documents, no training required - JAVA

    ...In a way, this is similar to clustering but not really a clustering algorithm since there is some training involved. The summarizer from Classifier4J has been adjusted to accept two inputs (lets call them A and B). Then, the summarizer gets trained with A to summarize a document B, and vice versa. This extracts a relevant structure for both documents (and thus avoids the over-training) which are then compared using the Vector-Space analysis to give a range of belonging of one document to another (and thus avoids the shortage of information). This method can be used to create the user-defined classes by merging texts of certain categories and then to calculate the relevant distances between the documents, but this is not necessary.
    Downloads: 0 This Week
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  • 2
    TextMine is for the Perl hacker who is grappling with the problems of managing unstructured text from various sources. You can use these text mining tools to search the Web, index text, extract entities, categorize your e-mail, and summarize documents.
    Downloads: 0 This Week
    Last Update:
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