Adopting K-Mean Clustering Algorithm on Multiple Choices Feedback Opinion Mining

J. Sheik Mohamed, P. Nirmala,Dr. P. Chitti Babu, Dr. S. Ramakrishna


With the dramatically increase of e-commerce product information gradually forms a massive scale. The product information that user real needs can’t be searched and acquired quickly and easily, so user spends lots of time in eliminating the useless information. Product opinion mining, namely analyze the user’s opinion of products, can find out some of characteristics of the product itself and whether user is satisfied with the products characteristics or not. According to the description of product characteristics one can draw some information which is fundamental to user’s concern and used them for reliable recommendation in further sales decision making.



Keywords: Opinion Mining, K-Mean Clustering, Customer, Arff File,

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