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Humans act as a social animal and drive on intuitions. These intuitions are the result of sentiments which one perceived through the life experiences. Applying analytics on Opinion Mining can help governments, businesses and educational institutions to define policy that best suits the consumer base. This study aims to review researches on sentiment analysis where techniques vary from early attempts to newly developed. The researches implementing supervised and unsupervised techniques which would identify the hidden sentiments from the texts have been categorized and discussed. Challenges and methodologies are the key points for selection of literatures. Tabular comparisons of the past researches have been provided. This paper is designed to provide a precise study for Sentiment Analysis.
Shrivastava et al. (Sun,) studied this question.