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Product Score Based on Preferential Treatment of Aspects and Sentiment Classification


K. N. Karthikheyan, D. Kamesh, S. Pradeep Kumar, Dr. N. Pughazendi
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Every user has a varying perception on a same product. An attribute that entices one, may be a turn-off to the other. For instance, a traveller may fancy the attribute battery on a mobile phone while a person who seeks a slimmest mobile may abhor its size enlargement caused by the same battery. This project aspires to display the consumer with the product possessing the attribute that appeals the consumer, whose search results are based on the reviews posted by the numerous users of the product around the world on different websites. The rapidly expanding e-commerce has facilitated consumers to purchase products online. More than $156 million online product retail sales have been done in the US market during 2009 . Most retail Web sites encourage consumers to write reviews to express their opinions on various aspects of the products. This gives rise to huge collections of consumer reviews on the Web. These reviews have become an important resource for both consumers and ?rms. Consumers commonly seek quality information from online consumer reviews prior to purchasing a product, while many ?rms use online consumer reviews as an important resource in their product development, marketing, and consumer relationship management. As illustrated in this figure most online reviews express consumers overall opinion ratings on the product, and their opinions on multiple aspects of the product. While a product may have hundreds of aspects, we argue that some aspects are more important than the others and have greater in?uence on consumers purchase decisions as well as ?rms product development strategies. Take iPhone 3GS as an example, some aspects like battery and speed, are more important than the others like moisture sensor. Generally, identifying the important product aspects will bene?t both consumers and ?rms. Consumers can conveniently make wise purchase decision by paying attentions on the important aspects, while ?rms can focus on improving the quality of these aspects and thus enhance the product reputation effectively.

K. N. Karthikheyan, D. Kamesh, S. Pradeep Kumar, Dr. N. Pughazendi

Aspect ranking, product score, priority ranking


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Publication Details

Published in : Volume 1 | Issue 2 | March-April - 2015
Date of Publication Print ISSN Online ISSN
2015-04-25 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
289-294 IJSRSET152283   Technoscience Academy

Cite This Article

K. N. Karthikheyan, D. Kamesh, S. Pradeep Kumar, Dr. N. Pughazendi, "Product Score Based on Preferential Treatment of Aspects and Sentiment Classification", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 2, pp.289-294, March-April-2015.
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