A Survey Paper on Sentiment Analysis of Product Reviews

In present days, Internet is the most popular source for getting the information, new ideas, opinions about the available products and different services. People are increasingly attracted towards the various social media like twitter, face-book, amazon etc. As number of people would like to buy the products online, user's reviews or posts are increasing day by day. Also they express their reviews on current affairs, products or services. It is difficult to handle and manage the large amount of data, records and reviews on various products. So, there is a need to classify or perform the sentiment analysis on this large amount of data. The product reviews present in textual format are considered as an input. To work on large amount of reviews data, Support Vector Machine (SVM) is used to classify the review data. We are using Natural Language Processing (NLP) to process the input data. The output of the system is represented as the sentiment expressions such as positive, negative or neutral and it will be shown in the graphical format or in the form of charts.