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情绪标记句子数据集

情绪标记句子数据集

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N/A Classification

Dimitrios Kotzias dkotzias '@' ics.uci.eduData Set Information:This dataset was created for the Paper 'From......

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    README.md

    Dimitrios Kotzias dkotzias '@' ics.uci.edu


    Data Set Information:

    This dataset was created for the Paper 'From Group to Individual Labels using Deep Features', Kotzias et. al,. KDD 2015
    Please cite the paper if you want to use it :)

    It contains sentences labelled with positive or negative sentiment.

    =======
    Format:
    =======
    sentence score



    =======
    Details:
    =======
    Score is either 1 (for positive) or 0 (for negative)
    The sentences come from three different websites/fields:

    imdb.com
    amazon.com
    yelp.com

    For each website, there exist 500 positive and 500 negative sentences. Those were selected randomly for larger datasets of reviews.
    We attempted to select sentences that have a clearly positive or negative connotaton, the goal was for no neutral sentences to be selected.


    Attribute Information:

    The attributes are text sentences, extracted from reviews of products, movies, and restaurants


    Relevant Papers:

    'From Group to Individual Labels using Deep Features', Kotzias et. al,. KDD 2015



    Citation Request:

    'From Group to Individual Labels using Deep Features', Kotzias et. al,. KDD 2015

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