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    Novel document representations based on labels and sequential information 

    Kim, Seungyeon (Georgia Institute of Technology, 2015-07-23)
    A wide variety of text analysis applications are based on statistical machine learning techniques. The success of those applications is critically affected by how we represent a document. Learning an efficient document ...

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    AuthorKim, Seungyeon (1)Subject
    Artificial intelligence (1)
    Machine learning (1)
    Matrix factorization (1)
    Mood analysis (1)
    Representation learning (1)
    Sentiment analysis (1)
    Sequential document modeling (1)
    Supervised learning (1)Topic modeling (1)... View MoreDate Issued
    2015 (1)
    Has File(s)
    Yes (1)
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