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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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    Modeling and visualization of version-controlled documents 

    Kim, Seungyeon (Georgia Institute of Technology, 2011-04-05)
    Version-controlled documents, such as Wikipedia or program codes in Subversion, demands a novel methodology to be analyzed efficiently. The documents are continually edited by one or more authors in contrast of the case ...

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    AuthorKim, Seungyeon (2)SubjectArtificial intelligence (1)Computational linguistics (1)Document model (1)Document visualization (1)Machine learning (1)Matrix factorization (1)Mood analysis (1)Representation learning (1)Sentiment analysis (1)Sequential document modeling (1)... View MoreDate Issued2011 (1)2015 (1)Has File(s)Yes (2)
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