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Study of Socio-Linguistics Online Review System Using Sentiment Scoring Method
B. Bazeer Ahamed,
Published in Springer
Volume: 1072
Pages: 569 - 580
Presently, social media are interactive and more user friendly in nature. The web users enable to provide a medium of exchange in analysing the opinionated comments of different reviewers. The review expressed in different commercial websites ranges from simple in form of sentence or paragraphs which is converted into graphical representation in form of star ratings. Commercial websites is interested to express the opinions in a broader sense driving as a revolution to e-commerce. Reviews expressed by the reviewers are also called as raters. On contrary, a huge people who are trustworthy provide fake reviews or bogus reviews to get their products. It is necessary to permit trusted people to review the products and post them on the web. Other approaches like trusted network, fixed machine address could be used for ranking the products. Since there are large number of people prefers to sell or buy products through e-commerce. The potential applications of opinion mining rate the product by decision making, product analysis and improving business. In this paper a framework is presented for mining online reviews extracted from by different reviewers & commercial websites. © 2020, Springer Nature Switzerland AG.
About the journal
JournalData powered by TypesetAdvances in Intelligent Systems and Computing
PublisherData powered by TypesetSpringer