Article citations

    Liao, S.S. and Jiang, M.H. (2005) An Improved Method of Feature Selection Based on Concept Attributes in Text Classification. Advances in Natural Computation, Lecture Notes in Computer Science, 3610, 1140-1149.

has been cited by the following article:

  • 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 DOI: 10.4236/jcc.2015.35004 May 28, 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.