Abstract
Opinion mining is the field of study that analyses people’s thoughts, sentiments, emotions and attitude towards entities, product, services, issues, topics, events and their attributes. There are many different tasks such as opinion extraction, sentiment mining, emotional analysis, review mining etc. The important aspect of opinion minion is to gather the information from reviews, blogs, etc. and then finding out the behavior of that information, i.e. the information is related to either positive or negative context. The positive and negative reviews or blogs deal with a numerical value. The value is to be calculated using SentiWordNet 3.0. The opinion words are mainly adjective words such as “good,” “better,” “awesome.” But there arises several problems because identifiers negation words and the extension of the opinion words such as “very very good” are not considered. In this paper, details about opinion mining, how the polarity value deals with positive and negative and how to deal with Roman language reviews and blogs is discussed.
Published Version
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