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.