SURVEY OF CO-EXTRACTING OPINION TARGETS AND OPINION WORDS FROM ONLINE REVIEWS BASEDJournal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.8, No. 1)
Publication Date: 2019-01-30
Authors : Malathi.M; Antony Selvadoss Thanamani;
Page : 38-49
Keywords : SURVEY; CO-EXTRACTING; OPINION TARGETS; OPINION WORDS; ONLINE REVIEWS BASED;
Due to the sheer volume of opinion rich web resources such as discussion forum, review sites, blogs and news corpora available in digital form; much of the current research is focusing on the area of sentiment analysis. People are intended to develop a system that can identify and classify opinion or sentiment as represented in an electronic text. An accurate method for predicting sentiments could enable us, to extract opinions from the internet and predict online customer's preferences, which could prove valuable for economic or marketing research. Till now, there are few different problems predominating in this research community, namely, sentiment classification, feature based classification and handling negations. This paper presents a survey covering the techniques and methods in sentiment analysis and challenges appear in the field.
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Last modified: 2019-01-26 00:44:03