论文信息 - Opinion Mining using Hybrid Methods

Opinion Mining using Hybrid Methods

Opinion mining is opinion of the public that is given by each user about a particular product. People post many comments and messages about a movie posted in these social network. The comments of each user will be taken as opinions for each movie posted in these web forums.In this paper the rating of movie in twitter is taken to review a movie by using opinion mining This paper proposed a hybrid methodsusing SVM and PSO to classify the user opinions as positive, negative for the movie review dataset which could be used for better decisions.

K. Umamaheswari | G. Aishwaryalakshmi | S. P. Rajamohana

[1] Johan Bollen,et al. Twitter mood predicts the stock market , 2010, J. Comput. Sci..

[2] Steven Salzberg,et al. On Comparing Classifiers: Pitfalls to Avoid and a Recommended Approach , 1997, Data Mining and Knowledge Discovery.

[3] Ethem Alpaydin,et al. Introduction to Machine Learning (Adaptive Computation and Machine Learning) , 2004 .

[4] K Vigneshkumar.. Mining Online Reviews For Predicting Sales Performance in Movie Domain , 2013 .

[5] Moontae Lee,et al. MULTICLASS SENTIMENT ANALYSIS WITH RESTAURANT REVIEWS , 2010 .

[6] Bing Liu,et al. Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data , 2006, Data-Centric Systems and Applications.

[7] Azah Kamilah Muda,et al. PSO and Computationally Inexpensive Sequential Forward Floating Selection in acquiring significant features for handwritten authorship , 2011, 2011 11th International Conference on Hybrid Intelligent Systems (HIS).

[8] Patrick Paroubek,et al. Twitter as a Corpus for Sentiment Analysis and Opinion Mining , 2010, LREC.