Showing 3 open source projects for "sentiment analysis"

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    toxic-repos

    toxic-repos

    We are against discrediting open source software

    toxic-repos is a tool that analyzes GitHub repositories to detect signs of hostile or problematic behavior in open-source communities. It helps developers and contributors identify repositories with negative engagement patterns.
    Downloads: 0 This Week
    Last Update:
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  • 2
    Intel neon

    Intel neon

    Intel® Nervana™ reference deep learning framework

    neon is Intel's reference deep learning framework committed to best performance on all hardware. Designed for ease of use and extensibility. See the new features in our latest release. We want to highlight that neon v2.0.0+ has been optimized for much better performance on CPUs by enabling Intel Math Kernel Library (MKL). The DNN (Deep Neural Networks) component of MKL that is used by neon is provided free of charge and downloaded automatically as part of the neon installation. The gpu...
    Downloads: 1 This Week
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  • 3
    TextBlob

    TextBlob

    TextBlob is a Python library for processing textual data

    Simple, Pythonic, text processing, Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more. It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more. TextBlob stands on the giant shoulders of NLTK and pattern, and plays nicely with both.
    Downloads: 1 This Week
    Last Update:
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