What are the common challenges with which sentiment analysis deals? What are the most popular application areas for sentiment analysis? Why?
Common challenges with which sentiment analysis deals
Sentiment analysis, or opinion mining, is a natural language processing technique used to determine whether data is positive, negative or neutral. Sentiment analysis is often performed on textual data to help businesses monitor brand and product sentiment in customer feedback, and understand customer needs. The main problems that exist in the sentiment analysis technique are: inability to perform well in different domains, adequate accuracy and performance in sentiment analysis based on insufficient labeled data, incapability to deal with complex sentences that require more than sentiment words and simple analyzing.