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Multifactor Based Top K Feature Extraction Using Summarized Customer Reviews

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Multifactor Based Top K Feature Extraction Using Summarized Customer Reviews


Adarsh A | Akshatha S Kumar | Pranav P. M | Dr. Saravana Balaji B | ShruthiShree S. H

https://doi.org/10.31142/ijtsrd14183



Adarsh A | Akshatha S Kumar | Pranav P. M | Dr. Saravana Balaji B | ShruthiShree S. H "Multifactor Based Top K Feature Extraction Using Summarized Customer Reviews" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4, June 2018, pp.999-1003, URL: https://www.ijtsrd.com/papers/ijtsrd14183.pdf

It is a typical practice that vendors offering items on the Web request that their clients review the item. These remarks are essential for potential clients when choosing which item to purchase. As internet business is increasingly well known, the quantity of client surveys that an item gets develops quickly. In any case, perusing a lot of client surveys accessible for every item is a tedious procedure. Hence, clients generally tend to peruse little bits of highest remarks and avoid whatever remains of them. For an item, the quantity of audits can be in hundreds or thousands. In this task, our principle objective is to abridge all the client surveys of an item. This diagram task isn't the indistinguishable customary substance abstract since we are simply enthused about the specific features of the thing that customers have evaluations on and moreover whether the conclusions are certain or negative. We outline the reviews of an item class by producing the sentiment score for each survey and after that summarize all the opinion scores from each review.

Sentiment Analysis, Natural Language Processing, Feature Based Opinion Mining, Review Summarization, Information Extraction


IJTSRD14183
Volume-2 | Issue-4, June 2018
999-1003
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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