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Reseach Article

Web Mining: Opinion and Feedback Analysis for Educational Institutions

by Jai Prakash Verma, Bankim Patel, Atul Patel
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 84 - Number 6
Year of Publication: 2013
Authors: Jai Prakash Verma, Bankim Patel, Atul Patel
10.5120/14579-2800

Jai Prakash Verma, Bankim Patel, Atul Patel . Web Mining: Opinion and Feedback Analysis for Educational Institutions. International Journal of Computer Applications. 84, 6 ( December 2013), 17-22. DOI=10.5120/14579-2800

@article{ 10.5120/14579-2800,
author = { Jai Prakash Verma, Bankim Patel, Atul Patel },
title = { Web Mining: Opinion and Feedback Analysis for Educational Institutions },
journal = { International Journal of Computer Applications },
issue_date = { December 2013 },
volume = { 84 },
number = { 6 },
month = { December },
year = { 2013 },
issn = { 0975-8887 },
pages = { 17-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume84/number6/14579-2800/ },
doi = { 10.5120/14579-2800 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:00:12.471832+05:30
%A Jai Prakash Verma
%A Bankim Patel
%A Atul Patel
%T Web Mining: Opinion and Feedback Analysis for Educational Institutions
%J International Journal of Computer Applications
%@ 0975-8887
%V 84
%N 6
%P 17-22
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Big amount of data available in the forms of reviews, opinions, feedbacks, remarks, comments, observations, clarifications, and explanations that require a robust mechanism to store, retrieve, analyze, and management. In this paper, we are proposing system that provides review or summary of above mention text data available on web for an educational institute. Due to big data size above system can be extended as real time recommendation system for Big Data analysis as future enhancement.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Web Mining Opinion Analysis Feedback Summarization Sentiment analysis k-mean clustering Recommendation System etc.