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Review on Text Mining Algorithms

by Shivani Sharma, Saurabh Kr. Srivastava
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 134 - Number 8
Year of Publication: 2016
Authors: Shivani Sharma, Saurabh Kr. Srivastava
10.5120/ijca2016907972

Shivani Sharma, Saurabh Kr. Srivastava . Review on Text Mining Algorithms. International Journal of Computer Applications. 134, 8 ( January 2016), 39-43. DOI=10.5120/ijca2016907972

@article{ 10.5120/ijca2016907972,
author = { Shivani Sharma, Saurabh Kr. Srivastava },
title = { Review on Text Mining Algorithms },
journal = { International Journal of Computer Applications },
issue_date = { January 2016 },
volume = { 134 },
number = { 8 },
month = { January },
year = { 2016 },
issn = { 0975-8887 },
pages = { 39-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume134/number8/23938-2016907972/ },
doi = { 10.5120/ijca2016907972 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:33:41.164415+05:30
%A Shivani Sharma
%A Saurabh Kr. Srivastava
%T Review on Text Mining Algorithms
%J International Journal of Computer Applications
%@ 0975-8887
%V 134
%N 8
%P 39-43
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Nowadays twitter microblog has become very popular in the conversation practice and in spreading awareness about various issues among the people. People share their short messages / tweets among their private / public social network. These messages are valuable for the number of tasks to identify hidden knowledge patterns from the discussions. Many research have been conducted on text classification. Text classification uses terms as features which can be grouped to vote for belongingness of a class. Text classification can be carried on twitter data and various machine learning algorithms can be used for feature based performance evaluation. In this context we have reviewed few papers taken from various sources like IEEE Xplore, ACM, Elsevier etc.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Machine learning Data mining Features Twitter.