Fuzzy and ANN Controller for Stable Temperature of Liquid in Heat Exchanger

Abstract: The explosion of social media has created unprecedented opportunities for citizens to publicly voice their opinions, but when it comes to making sense of these opinions then it is a serious problem. Opinion mining is a type of natural language processing for tracking the mood of the public about a particular product. Opinion mining involves building a system to collect and examine opinions about the product made in blog posts, comments, reviews or tweets. Opinion mining can be useful in several ways in marketing, it helps to judge the success of a launch of new product, determine which versions of a product or service are popular and even identify which demographics like or dislike particular features. After the process of opinion extraction, the Sentiment analysis determines the subjectivity, polarity and polarity strength of a piece of text. The sentiment oriented words are used for providing a good recommendation to the users to make accurate decision. This paper gives a brief survey on the opinion mining framework.

Keywords: Opinion mining, sentiment analysis, sentiment lexicon, feature extraction, sentiment classificationI .