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Developing a Flexible Sentiment Analysis Technique for Multiple Domains Introduction: Sentiment analysis of blog text, review sites and online forums

Sentiment analysis of blog text, review sites and online forums has been a popular subject for several years in the field of natural language processing. Researchers have shown that several techniques can successfully estimate the opinion polarity of a given text. This project focuses on taking the initial steps towards creating a metric of sentiment for use in enhancing search and retrieval of opinionated content. Three approaches are identified; bag-of-word classification, lexical rule analysis using term expansion, and statistical classification through rule generated features. By comparing and contrasting these methodologies, it is hoped that a robust technique can be developed to quickly estimate a post’s general polarity.