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Summarization and Negative Reviews Opinion Mining of Multiple User Reviews in Text Domain

by Anita K. Bodke, M. G. Bhandare
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 145 - Number 13
Year of Publication: 2016
Authors: Anita K. Bodke, M. G. Bhandare
10.5120/ijca2016910885

Anita K. Bodke, M. G. Bhandare . Summarization and Negative Reviews Opinion Mining of Multiple User Reviews in Text Domain. International Journal of Computer Applications. 145, 13 ( Jul 2016), 31-33. DOI=10.5120/ijca2016910885

@article{ 10.5120/ijca2016910885,
author = { Anita K. Bodke, M. G. Bhandare },
title = { Summarization and Negative Reviews Opinion Mining of Multiple User Reviews in Text Domain },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2016 },
volume = { 145 },
number = { 13 },
month = { Jul },
year = { 2016 },
issn = { 0975-8887 },
pages = { 31-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume145/number13/25342-2016910885/ },
doi = { 10.5120/ijca2016910885 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:48:47.692729+05:30
%A Anita K. Bodke
%A M. G. Bhandare
%T Summarization and Negative Reviews Opinion Mining of Multiple User Reviews in Text Domain
%J International Journal of Computer Applications
%@ 0975-8887
%V 145
%N 13
%P 31-33
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

As all uses online services so it become tedious job to kind opinion about needed things likes,publication,restaurant etc.so here develop system which take input reviews and tips(micro-review) from different sites and provide user a compact and informative set of review. Problem of selection reviews which cover maximum number of tips is NP-hard, so provide a maximum solution, use greedy approach to solve problem. Also provide user a reason behind negative review. For this develop our own algorithm. For the project data collect from webKB,Fouresquare.com,yelp.com.Proposed system select here tips for selecting informative review because tips are highly concise, authentic(user place it when he/her check in at that place),content relevant data.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Sentimental syntactic semantic similarity Review Micro review coverage efficiency.

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