Assessing Public Opinions of Products Through Sentiment Analysis

In the world of social networking, consumers tend to refer expert comments or product reviews before making buying decisions. There is much useful information available on many networking sites for make comparisons. Sentiment analysis considered appropriate summarising opinions. However, sentences posted online are generally short, which sometimes contains both positive and negative word in same post. Thus, it may not be sufficient determine sentiment polarity a post by merely counting number words, summing up averaging associated scores words. this paper, an unsupervised learning technique, k-means, conjunction with analysis, proposed assessing public The approach offers designers tool promptly critical design criteria new planning process development evaluating user-generated content. case implementation proves applicability approach.