Authors : Chandrashekhar Tople and P. B. Dhumne
Page Nos : 79-84
Description :
Reviews, opinions, suggestions, ratings, and feedback are produced by writers as websites, social networks, blogs, and online portals potentially generate. For organizations, governments, and people in general, these attitudes are extremely advantageous. Even if the majority of this writer-generated information has to be mined using text mining algorithms and sentiment analysis, it is still considered to be informative. But the process of sentiment analysis and assessment faces a number of difficulties. These difficulties create roadblocks in determining the correct sentiment polarity and accurately evaluating the meaning of feelings. Sentiment analysis is the process of identifying and extracting subjective information from text using text analysis and natural language processing tools. In this context, this paper gives a thorough assessment of the relevant literature with a specific focus on challenges associated in various application domains for sentiment analysis.
