Sanjay KS and Dr.Ajit Danti
In this paper we find the research reports what other people have their opinion about the particular product. With the growing availability and popularity of opinion-rich resources such as online review sites, and people can actively use information technologies to seek out and understand the opinions of others. The sudden eruption of activity in the area of sentiment analysis, which deals with the computational treatment of semantically, sentiment, and subjectivity in text, has thus occurred at least in part as a direct response to the surge of interest in new systems that deal directly with opinions as a first-class product.We report research results investigating product review as a form of electronic word-of-mouth for sharing consumer opinions concerning brands. We analyse the product which containing branding comments, sentiments, and opinions. We investigated the overall structure (rate) of the particular product, and the movement in positive or negative sentiment. We compared automated methods of classifying sentiment of the product with manual coding. Using a case study approach, we analysed the opinion of the particular product and its rate. Our comparison of automated and manual coding showed no significant differences between the approaches. In analysing the product rate, the linguistic structure of product approximates the linguistic patterns of natural language expressions.
Opinion Mining, Sentiment Analysis, Semantical, Subjectivity, Linguistic Structure, Manual Coding