Showing 4 open source projects for "document summarizer"

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    Desktop Plagiarism Checker

    Desktop Plagiarism Checker

    Free plagiarism software for .NET (Windows 7, 8.1, 10, 11)

    Plagiarisma tools are a valuable resource for anyone who wants to ensure the originality and accuracy of their written work. The plagiarism checker is a useful tool for detecting any instances of copied content in a document. It compares the text with a vast database of sources to determine the level of similarity and highlights any potential areas of concern. The paraphraser tool allows writers to rephrase their sentences to avoid plagiarism, while the summarizer provides a concise overview of a longer text. The AI detector is an advanced feature that uses artificial intelligence to identify potential instances of plagiarism and provides suggestions for rewording. ...
    Downloads: 1 This Week
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  • 2
    Unsupervised TXT classifier

    Unsupervised TXT classifier

    Classify any two TXT documents, no training required - JAVA

    ...Instead, each TXT file is a category on its own, rather than an assigned category. 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). ...
    Downloads: 0 This Week
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  • 3
    TexLexAn is an open source text analyser for Linux, able to estimate the readability and reading time, to classify and summarize texts. It has some learning abilities and accepts html, doc, pdf, ppt, odt and txt documents. Written in C and Python.
    Downloads: 0 This Week
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  • 4

    Auto Summarization tool using java

    Auto summarization provides a concise summary for a document.

    Auto summarization provides a concise summary for a document. In this I present a Statistical approach to addressing the text generation problem in domain-independent, single-document summarization. My thesis Includes salton’s vector space model which divides the sentences into categories which can also be used for summarizing the contents in WebPages. The summarizer initially breaks the entire document into sentences based on the separators.
    Downloads: 0 This Week
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