期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2018
卷号：7
期号：3
页码：2674
DOI：10.15680/IJIRSET.2018.0703117
出版社：S&S Publications
摘要：In this highly digitalized world, businesses are carving their competitive advantage by decision makingusing data analytics. One of the sources to harness data through product reviews, as it is a clear depiction of thecustomer’s interest in a particular product or service. Opinion Mining techniques are employed to identify theperception of the product or service by the textual analysis of public reviews obtained by computational extraction. Inthe proposed system, opinion mining is utilized to recognize opinion words from the subjective information shared bycustomers’ experiences of a product. In this work, the algorithm is applied on a public dataset of reviews extractedfrom the Amazon website to discover customer requirements and preferences. A sentiment analysis is furtherperformed using the Bing lexicon to identify the sentiment of the reviews. These analyses allow businesses to refinetheir products by adapting to the user demand, thereby improving the competitive advantage of the business.
关键词：Data Mining; Opinion Word Mining; Sentiment Analysis
