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Ji, H., Luo, Z.S., Wang, M. and Gao, X.Y. (2002) Summarizing Based on Concept Counting and Hierarchy Analysis. The Natural Language Processing and Knowledge Engineering (NLPKE) Mini Symposium of the 2002 IEEE International Conference on Systems, Man and Cybernetics (SMC2002).

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• TITLE: Cluster Analysis Based on Contextual Features Extraction for Conversational Corpus

  AUTHORS: Qi Chen, Yue Chen, Minghu Jiang

  KEYWORDS: Conversational Corpus, Contextual Features, VSM, SOM

  JOURNAL NAME: Journal of Computer and Communications, Vol.3 No.5, May 25, 2015

  ABSTRACT: Cluster analysis related to computational linguistics seldom concerned with Pragmatics level. Features of corpus on Pragmatics level related to specific situations, including backgrounds, titles and habits. To improve the accuracy of clustering for conversations collected from international students in Tsinghua University, it required contextual features. Here, we collected four-hundred conversations as a corpus and built it to Vector Space Model. With the Oxford-Duden Dictionary and other methods we modified the model and concluded into three groups. We testified our hypothesis through self-organizing map neural network. The result suggested that the modified model had a better outcome.