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Sentiment Analysis: Classification and Approaches


Sowmya B , Sambhram Institute of Technology; Ramya J, Sambhram Institute of Technology


Sentiment Analysis: Classification and Approaches


The rapid growth of textual information on web has brought radical change in human life. In web people share their views and opinions about products or services they aware of. This leads to a large collection of views and opinions in the form of texts, which needs to be analyzed and categorized to know the efficiency of the product and service. Opinions are expressions that describes humans sentiment or feeling towards the product or service. This information is very useful for businesses, governments and individuals. It is very difficult and time consuming to analyze this bulk amount of user generated data, so there is a need of intelligent system which automatically analyze such huge data and classify them as positive, negative and neutral. Sentiment analysis is the process of extracting opinions, emotions and attitude from text, speech and database sources through Natural Language Processing. This survey is a summary of the sentimental level of classification that assigns polarity to opinionated text, widely used algorithms, possible challenges and application areas of sentiment classification.

Other Details

Paper ID: IJSRDV7I110456
Published in: Volume : 7, Issue : 11
Publication Date: 01/02/2020
Page(s): 598-600

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