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M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 3 Issue 12, December 2014
An Efficient Product Aspect Ranking and its Application: A Review
Shahuraj Patil [2] | Jyoti Raghatwan [3]
Abstract: The purpose of the work we are going to find import aspect of the product and its rank this aspect by using numerous consumer reviews. The consumer reviews contain rich and valuable knowledge about the product. And this knowledge is very useful for both consumer and firm. Consumer can make wise purchasing decision by paying more attention towards important aspect or feature. And firm will concentrate on important features or aspect while improving the quality of the aspect. So in this proposed framework, this will identify the important aspect of product from online consumer reviews. The important aspects are commented again and again in consumer review and the consumers opinions on the important aspects are greatly influence their overall opinions on the product. From the consumer reviews the important aspect are identified by using NPL tool, and will classify the sentiment on that aspect, and finally we are going apply the ranking algorithm to determine the particular product rating.
Keywords: e-commerce, online shopping, Consumer review, Sentiment classification, Product aspect, ranking algorithm
Edition: Volume 3 Issue 12, December 2014,
Pages: 2048 - 2051
Similar Articles with Keyword 'ecommerce'
Downloads: 1
Research Paper, Computer Science & Engineering, India, Volume 11 Issue 5, May 2022
Pages: 208 - 212Design & Development of Android App with Using Firebase and Develop App Shop One E-Procurement
Rajesh Singh [16] | Omkar Kalel | Sushil Kulkarni | Mahesh Patil
Downloads: 111
Case Studies, Computer Science & Engineering, India, Volume 3 Issue 3, March 2014
Pages: 530 - 534Cybercrime in Credit Card Systems: Case Study on the 2014 Korean Credit Bureau Data Leak
Walter. T. Mambodza | Robert T. R. Shoniwa [2] | V. M. Shenbagaraman