On Sentiment Analysis of Campus Network Reviews about Education——a Case Study of Fenghua BBS of Hunan University of Commerce
Qingjie Hu · Journal of Hunan University of Commerce · 2013
Forum on a campus network provides a public and virtual platform for the university students to share their educational experience with other people.As a result,the exponential growth of reviews on forum occurs.Among these reviews,there is a huge amount of information about education available for teaching management.As today’s students increasingly make their opinions available online,there have accumulated a huge amount of reviews on the forum.It is very difficult to deal with the huge amount of information by manually-operated methods;so much of it is ignored by people.This paper adopts Bayes text sentiment classification technology to address this problem by automatically classifying students’reviews about education into positive or negative opinions.Experimental results on the dataset obtained from Fenghua BBS of Hunan University of Commerce show that the accuracy of sentiment classification is about 87.5% and no statistically significant difference between the distributions in the classification result and those in artificial classification result.This work overcomes some weaknesses of traditional teaching evaluation and provides a new method by which the department can implement teaching management dynamically.