Effective extraction method of the mutual understanding gap based on the egocentrism
by Nobuo Suzuki, Kazuhiko Tsuda
International Journal of Computer Applications in Technology (IJCAT), Vol. 38, No. 4, 2010

Abstract: The prospect of widespreading the internet in the world is enabling new ways of solving our several problems with many Q&A web sites. It is difficult to say that smooth communication is carried out in these sites, because a lot of speakers may speak inconsistently in the same site at the same time. Therefore, we proposed to extract the egocentrism from language expressions in words at some Japanese Q&A sites and tried to extract the mutual understanding gap in these words based on the egocentrism in this paper. Specifically, we defined the intensity for properties of the egocentrism with the method that presumed the egocentrism from language expressions in our previous study. This method presumes mutual understanding gap in the text data of Q&A sites that have dialogue form by using the intensity and calculating the score of the egocentrism in each speech. This paper shows the characteristics of the gap are expressed by the shape of graphs with these scores. We also evaluate this method with text data in actual Q&A sites and confirm its effectiveness, describing the precision is 98.8%. It also analyses features for the mutual understanding gap at the Q&A site. It was identified that the score of the mutual understanding gap is evenly distributed and most communications are attempted by the few speeches.

Online publication date: Sat, 07-Aug-2010

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