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Mining and Analyzing Twitter Trends: Frequency based Ranking of descriptive Tweets

by Rishabh Jain, Abhishek B.s., Satvik Jagannath
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 104 - Number 15
Year of Publication: 2014
Authors: Rishabh Jain, Abhishek B.s., Satvik Jagannath
10.5120/18279-9200

Rishabh Jain, Abhishek B.s., Satvik Jagannath . Mining and Analyzing Twitter Trends: Frequency based Ranking of descriptive Tweets. International Journal of Computer Applications. 104, 15 ( October 2014), 24-27. DOI=10.5120/18279-9200

@article{ 10.5120/18279-9200,
author = { Rishabh Jain, Abhishek B.s., Satvik Jagannath },
title = { Mining and Analyzing Twitter Trends: Frequency based Ranking of descriptive Tweets },
journal = { International Journal of Computer Applications },
issue_date = { October 2014 },
volume = { 104 },
number = { 15 },
month = { October },
year = { 2014 },
issn = { 0975-8887 },
pages = { 24-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume104/number15/18279-9200/ },
doi = { 10.5120/18279-9200 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:36:15.329301+05:30
%A Rishabh Jain
%A Abhishek B.s.
%A Satvik Jagannath
%T Mining and Analyzing Twitter Trends: Frequency based Ranking of descriptive Tweets
%J International Journal of Computer Applications
%@ 0975-8887
%V 104
%N 15
%P 24-27
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

One of the major sources of trending news, events and opinion in the current age is micro blogging. Twitter, being one of them, is extensively used to mine data about public responses and event updates. This paper intends to propose methods to filter tweets to obtain the most accurately descriptive tweets, which communicates the content of the trend. It also potentially ranks the tweets according to relevance. The principle behind the ranking mechanism would be the assumed tendencies in the natural language used by the users. The mapping frequencies of occurrence of words and related hash tags is used to create a weighted score for each tweet in the sample space obtained from twitter on a particular trend.

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Index Terms

Computer Science
Information Sciences

Keywords

Twitter Analysis Natural Language Processing Social Networks Lexical Analysis Microblogging Data Mining Algorithms Data Indexing.

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