Showing 12 open source projects for "java document viewer"

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  • 1
    DCTFinder

    DCTFinder

    Extract title and creation time from web page.

    Web pages do not offer reliable metadata concerning their creation date and time. However, getting the document creation time is a necessary step for allowing to apply temporal normalization systems to web pages. DCTFinder is a system that parses a web page and extracts from its content the title and the creation date of this web page. DCTFinder combines heuristic title detection, supervised learning with Conditional Random Fields (CRFs) for document date extraction, and rule-based creation...
    Downloads: 0 This Week
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  • 2
    FALCON - Text Search Java Project

    FALCON - Text Search Java Project

    JSON based text search Java Project

    ----------------- - What is it? - ----------------- The "Falcon Search" is a JAVA API and tool to search inside the documents. It was originally started to search the content in pdf files under the project "HAWK Search". Searching with this tool is query-based not word-based as in most of the document search tools OR document readers. It also takes care of jumbling of words within query and spelling mistakes.
    Downloads: 0 This Week
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  • 3
    TF-IDF.jar is a Java Archive file to measure TF-IDF of each document in a document collection (corpus). The jar can be used to (a) get all the terms in the corpus (b) get the document frequency (DF) and inverse document frequency (IDF) of all the terms in the corpus (c) get the TF-IDF of each document in the corpus (d) get each term with their frequency (no. of presence), term frequency (TF) and TF-IDF in every document...
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  • 4

    Texalyzer

    Text analyzer

    Analyzes text document using TF-IDF and optionally stopword list, and extracts important keywords.
    Downloads: 0 This Week
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  • 5
    Unsupervised TXT classifier

    Unsupervised TXT classifier

    Classify any two TXT documents, no training required - JAVA

    This program is made to address two most common issues with the known classifying algorithms. First, over-training and second, shortage of data for a training of categories. 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...
    Downloads: 0 This Week
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  • 6

    TML - Text Mining Library for LSA & CMM

    TML is a Java Library for LSA and extracting Concept Maps from text

    TML has moved to http://www.villalon.cl/tml.html and the code to https://github.com/villalon/tml
    Downloads: 0 This Week
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  • 7
    A system to perform analysis of large documents for the purpose of cataloging similar documents. Similarity is based upon contextual analysis of these documents done by identifying common words and proper nouns.
    Downloads: 0 This Week
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  • 8
    oopinyinguide
    OO Pinyin Guide is a Java extension for OpenOffice 3 or higher. It enables the user to add pinyin transliteration over Chinese characters inside a text document. This tool can be useful for people learning or teaching Chinese.
    Downloads: 1 This Week
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  • 9
    It's a utility application for updating and integrating translation memories, created by the Autshumato ITE, over a network. Licensed under the TMate Open Source License and free to download and be used by anyone.
    Downloads: 0 This Week
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  • 10
    Sanchay
    Sanchay is a collection of tools and APIs for language researchers. It has some implementations of NLP algorithms, some flexible APIs, several user friendly annotation interfaces and Sanchay Query Language for language resources.
    Downloads: 1 This Week
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  • 11
    InGen is a java-based tool that automatically extracts keywords from a given LaTeX-Document and creates an index for those keywords.
    Downloads: 0 This Week
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  • 12
    Maui is a multi-purpose automatic topic indexing algorithm. Given a document, Maui automatically identifies its topics. Depending on the task topics are tags, keywords, keyphrases, vocabulary terms, descriptors or Wikipedia titles.
    Downloads: 0 This Week
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