NDLI: Product Evaluation Using Mining and Rating Opinions of Product Features

Content Provider	IEEE Xplore Digital Library
Author	Karkare, V.Y. Gupta, S.R.
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Shri Ramdeobaba Coll. of Eng. & Manage., Nagpur, India (Karkare, V.Y.) \|\| Dept. of Comput. Sci. & Eng., Prof. Ram Meghe Inst. of Technol. & Res., Amravati, India (Gupta, S.R.)
Abstract	Because of increase in social networking, more and more people are connected. The people use to share information using these sites and also through the personal blogs. This information sharing is done globally. As the Internet Technology is becoming reliable, people feel safe while sharing the information. Other than messages and photos, this information also includes opinions, experiences and feedbacks regarding any product. These opinions and feedbacks are very important for the organizations that are selling or manufacturing the products, which can be used for changing designs, personalization and better understanding of product. This information is very useful for people or customer for buying the product. But for a customer, it is very difficult to review all the opinions or feedbacks available on net for a particular product. So, data mining approaches are used to mine the opinions, perform summarization of reviews for a particular product based on features or any other category. Most of the existing methods are processing the reviews in terms of positive and negative comments. But this approach is not enough for a customer to make decision about product. The proposed approach not only finding the positive and negative comments for any product or product features, but also rating them in the order of positivity and negativity. Also, the proposed approach gives the degree of comparisons for a particular product and product features.
Sponsorship	IEEE Bombay Sect.
Starting Page	382
Ending Page	385
File Size	156763
Page Count	4
File Format	PDF
ISBN	9781479921027
DOI	10.1109/ICESC.2014.72
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-09
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Opinion Mining Blogs Organizations Feature extraction Cameras Natural language processing Data mining Artificial intelligence Feature extraction and evaluation
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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