Chapter 2 Text Representation and Classification Methods
نویسنده
چکیده
Text representation and classification method is the most important research objectives of Text Classification. Text representation is prerequisite of Text Classification mainly because it decides the coding ways of text which directly affect classification performance. In this thesis, we have used statistic topic model for the purpose of reducing dimensionality and simultaneously representing texts with more semantic information. In this chapter, we will introduce famous Vector Space Model (VSM) and a classic statistic topic model—Latent Dirichlet Allocation (LDA) Model. We also introduce some classification methods frequently used. As far as multi-label classification concerned, we will introduce its proposal, its definition and main multi-label classification methods.
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