Title: SENTIMENT ANALYSIS BASED ON DICTIONARY APPROACH
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Title: |
SENTIMENT ANALYSIS BASED ON DICTIONARY APPROACH |
Author Name: |
RESHMA BHONDE,BINITA BHAGVAT,SAYALI INGULKAR,APEKSHA PANDE |
Abstract: |
Abstract-Sentiment analysis has become upcoming topic in recent years, and sentiment dictionaries are essential for research in this field. Consumers regularly face the trade-off in purchase decisions so nowadays if one wants to buy a consumer product one prefer user reviews and discussion in public forums on web about the product. Many consumers use reviews posted by other consumers before making their purchase decisions. People have a tendency to express their opinion on various entities. As a result opinion mining has gained importance .Sentiment Analysis deals with evaluating whether this expressed opinion about the entity has a positive or a negative orientation. Consumers need to decide what subset of available information to use. Graphical analysis is a better option for this decision as they provide a quick indication of a review. However there are cases where such graphical representation are not available or detailed enough. Sentiment analysis text analysis techniques that automatically detect the polarity of text can help in these situations with more refined analysis.
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