Abstract
The increasing use and ubiquity of the Internet facilitate dissemination of word-of-mouth through blogs, online forums, newsgroups, and consumer's reviews. Online consumer's reviews present tremendous opportunities and challenges for consumers and marketers. One of the challenges is to develop interactive marketing practices for making connections with target consumers that capitalize consumer-to-consumer communications for generating product adoption. Opinion mining is employed in marketing to help consumers and enterprises in the analysis of online consumers' reviews by highlighting the strengths and weaknesses of the products. This paper describes an opinion mining system based on novel review and feature ranking methods to empower consumers and enterprises for identifying critical product features from enormous consumers' reviews. Consumers and business analysts are the main target group for the proposed system who want to explore consumers' feedback for determining purchase decisions and enterprise strategies. We evaluate the proposed system on real dataset. Results show that integration of review and feature-ranking methods improves the decision making processes significantly.
Highlights
With the overwhelming popularity of Web2.0, electronic word-of-mouth transforms into a new, mostly free-of-charge opinion data wherein users present opinions and experiences to a wide public
Existing literature shows that positive word-of-mouth helps to improve consumers’ satisfaction, trust, and loyalty [2]
The objectives of this paper are to (i) select high quality informative reviews using metadata and semantic features according to users’ preferences and (ii) propose a new approach for feature ranking based on the intensity of opinion in order to identify critical product features
Summary
With the overwhelming popularity of Web2.0, electronic word-of-mouth transforms into a new, mostly free-of-charge opinion data wherein users present opinions and experiences to a wide public. This revolution has converted passive information users into actors as they create the content of the web themselves. Consumers’ interconnections through blogs, online forums, newsgroups, and consumers’ reviews become a global phenomenon that facilitates the dissemination of both positive and negative word-of-mouth [1]. Existing literature shows that positive word-of-mouth helps to improve consumers’ satisfaction, trust, and loyalty [2]. Negative word-of-mouth reduces consumers’ loyalty and patronage [3]. Consumers and enterprises acquire online reviews to adapt purchase intentions and business models and reorganize and prepare future plans [5]
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