Showing 9 open source projects for "javascript text editor"

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  • 1
    Search-Index

    Search-Index

    A persistent, network resilient, full text search library

    Search-Index is a lightweight and fast JavaScript-based search engine that enables full-text search indexing and retrieval for web applications.
    Downloads: 3 This Week
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  • 2
    compromise

    compromise

    Modest natural-language processing

    Language is complicated and there's a gazillion words. Compromise is a javascript library that interprets and pre-parses text and makes some reasonable decisions so things are way easier. Compromise tries its best to parse text. it is small, quick, and often good-enough. It is not as smart as you'd think. Conjugate and negate verbs in any tense. Play between plural, singular and possessive forms. Interpret plain-text numbers.
    Downloads: 2 This Week
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  • 3
    natural

    natural

    General natural language facilities for node

    "Natural" is a general natural language facility for nodejs. It offers a broad range of functionalities for natural language processing. Tokenizing, stemming, classification, phonetics, tf-idf, WordNet, string similarity, and some inflections are currently supported. It’s still in the early stages, so we’re very interested in bug reports, contributions and the like. Note that many algorithms from Rob Ellis’s node-nltools are being merged into this project and will be maintained from here...
    Downloads: 1 This Week
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  • 4
    franc

    franc

    Natural language detection

    Franc is a lightweight language detection library for JavaScript that supports multiple languages and scripts. It is designed for detecting text language efficiently in various applications.
    Downloads: 1 This Week
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  • 5

    MITRE Annotation Toolkit

    A toolkit for managing and manipulating text annotations

    The MITRE Annotation Toolkit (MAT) is a suite of tools which can be used for automated and human tagging of annotations. Annotation is a process, used mostly by researchers in natural language processing, of enhancing documents with information about the various phrase types the documents contain. MAT supports both UI interaction and command-line interaction, and provides various levels of control over the overall annotation process. It can be customized for specific tasks (e.g.,...
    Downloads: 0 This Week
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  • 6
    Parsr

    Parsr

    Transforms PDF, Documents and Images into Enriched Structured Data

    Parsr is an open-source document parsing tool that converts PDFs, scanned images, and other structured documents into structured, machine-readable data formats.
    Downloads: 1 This Week
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  • 7
    NLP.js

    NLP.js

    An NLP library for building bots

    NLP.js is an NLP library for building bots, with entity extraction, sentiment analysis, automatic language identifier, and much more. "NLP.js" is a general natural language utility for nodejs. Search the best substring of a string with less Levenshtein distance to a given pattern. Get stemmers and tokenizers for several languages. Sentiment Analysis for phrases (with negation support). Named Entity Recognition and management, multi-language support, and acceptance of similar strings, so the...
    Downloads: 0 This Week
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  • 8

    Arabic Corpus

    Text categorization, arabic language processing, language modeling

    The Arabic Corpus {compiled by Dr. Mourad Abbas ( http://sites.google.com/site/mouradabbas9/corpora ) The corpus Khaleej-2004 contains 5690 documents. It is divided to 4 topics (categories). The corpus Watan-2004 contains 20291 documents organized in 6 topics (categories). Researchers who use these two corpora would mention the two main references: (1) For Watan-2004 corpus ---------------------- M. Abbas, K. Smaili, D. Berkani, (2011) Evaluation of Topic Identification Methods on...
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    Downloads: 1 This Week
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  • 9
    sentiment

    sentiment

    AFINN-based sentiment analysis for Node.js

    Sentiment is a simple and lightweight sentiment analysis tool for Node.js that evaluates the polarity of text by scoring words based on positive and negative sentiment.
    Downloads: 0 This Week
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