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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title: REVIEW RATING BASED ON WORD ALIGNMENT MODEL
Authors Name: RAJESHWARI KR , PRATHIMA S , QURRATH UL AIN , SOUMYASHREE , CHANDRAPRABHA KS
Unique Id: IJSDR1606002
Published In: Volume 1 Issue 6, June-2016
Abstract: The use of social media has created many opportunities for people to publicly voice their opinions, but when they are meant to have a opinion it makes a serious problem. Mining opinion targets and opinion words from online re-views are important tasks for fine-grained opinion mining, the key component of which involves detecting opinion relations among words. It is difficult to analyze each and every review since reviews are expressed in different ways so mining opinions and analyzing reviews from the text is important. The main Theme of this paper is to create a system for analyzing opinions which implies judgement of different consumer products. In opinion mining, extracting opinion targets and opinion words are two fundamental tasks. An opinion target is defined as the object about which users express their opinions typically noun or noun phrases. Opinion words are the words that are used to express users opinions. Mapping of opinion target and opinion words is done using word alignment model and a graph is constructed representing the final view of the product. From these reviews, customers can obtain first-hand assessments of product information and direct supervision of their purchase actions. Mean while manufacturers can obtain immediate feedback and opportunities to improve the quality of their products in a timely fashion. It is difficult to analyze each and every review since reviews are expressed in different ways so mining opinions and analyzing reviews from the text is important. Our main theme is to create a system for analyzing opinions which implies judgment of different consumer products.
Keywords: Keywords: Opinion words, opinion Target, Reviews , Mining
Cite Article: "REVIEW RATING BASED ON WORD ALIGNMENT MODEL", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 6, page no.7 - 10, June-2016, Available :http://www.ijsdr.org/papers/IJSDR1606002.pdf
Downloads: 000101773
Publication Details: Published Paper ID: IJSDR1606002
Registration ID:160472
Published In: Volume 1 Issue 6, June-2016
DOI (Digital Object Identifier):
Page No: 7 - 10
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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