 Fine-grained opinion mining of product review using sentiment and semantic orientationGaurav Dubey, Ajay Rana and Jayanthi Ranjan International Journal of Business Information Systems, 2017, vol. 25, issue 1, 1-17 Abstract: The reviews or feedback about a product or service has become quite significant in marketing, promoting, or improvising the product or service, since e-commerce, or purchasing of online products, has recently become a trend. The availability of product reviews is online and in the form of text but these reviews are very much in an unstructured form, which does not help either the new consumer, or the organisation, to take any decision further. In this paper, we have proposed an approach based on opinion mining and sentiment analysis. We have explored the sentiment orientation and sentiment classification to evaluate the customers' review. The reviews of various mobiles were converted from unstructured to structure to extract the summarised knowledge from online reviews. The number of user reviews was explored and the empirical results found that the sentiment orientation and classification provides the effective methods for better decision-making and benchmarking. Keywords: online reviews; iphones; semantic orientation; opinion mining; sentiment analysis; online feedback; product reviews; sentiment classification; customers reviews; mobile phones; cell phones. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbisy:v:25:y:2017:i:1:p:1-17 Access Statistics for this article More articles in International Journal of Business Information Systems from Inderscience Enterprises Ltd |
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