A Review on Sentiment Analysis Techniques
- Country : India
- Subject : Computer Science
Keywords : Sentiment Analysis, Preprocessing, SA techniques
Abstract
In this paper, the overviews of the Sentiment Analysis techniques are surveyed. It is challenging to understand the latest trends and summaries the state or general opinions about products due to the big diversity and size of social media data and this creates the need of automated and real time opinion extraction and mining. Mining online opinion is a form of sentiment analysis that is treated as a difficult text classification task. In this paper, we explore the role of text pre-processing in sentiment analysis, and report on experimental results that demonstrate that with appropriate feature selection and representation, sentiment analysis accuracies using support vector machines (SVM) in this area may be significantly improved. The level of accuracy achieved is shown to be comparable to the ones achieved in topic categorization although sentiment analysis is considered to be a much harder problem in the literature.
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