Sentiment Analysis of Comparative Sentences in Text Document using OSA and PMI Techniques

Textual information in the world can be broadly categorized into two main types: facts and opinions. Facts are objective expressions about entities, events and their properties. Opinions are usually subjective expressions that describe people’s sentiments, appraisals or feelings toward entities, events and their properties. With the growing availability of online resources on web and popularity of fast and rich resources of opinion sharing such as online review sites and personal blogs, Opinion Mining has become an interesting area of research. Identifying sentiments from an opinion is a challenging problem. For a popular product, the number of reviews can be in hundreds or even more. This makes it difficult for a customer to read them to make an informed decision on whether to purchase the product. It also makes it difficult for the manufacturer of the product to keep track and to manage customer opinions. For the manufacturer, there are additional difficulties because many merchant sites may sell the same product. In this research, we aim to mine and to summarize all the customer reviews of a product and summarize whether the opinions are positive or negative.