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Reseach Article

Ranking of Tweets for Digital Marketing

by Denzil Pereira, Jason Misquitta, Priyank Cerejo
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 129 - Number 8
Year of Publication: 2015
Authors: Denzil Pereira, Jason Misquitta, Priyank Cerejo
10.5120/ijca2015906987

Denzil Pereira, Jason Misquitta, Priyank Cerejo . Ranking of Tweets for Digital Marketing. International Journal of Computer Applications. 129, 8 ( November 2015), 19-22. DOI=10.5120/ijca2015906987

@article{ 10.5120/ijca2015906987,
author = { Denzil Pereira, Jason Misquitta, Priyank Cerejo },
title = { Ranking of Tweets for Digital Marketing },
journal = { International Journal of Computer Applications },
issue_date = { November 2015 },
volume = { 129 },
number = { 8 },
month = { November },
year = { 2015 },
issn = { 0975-8887 },
pages = { 19-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume129/number8/23094-2015906987/ },
doi = { 10.5120/ijca2015906987 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:22:53.316944+05:30
%A Denzil Pereira
%A Jason Misquitta
%A Priyank Cerejo
%T Ranking of Tweets for Digital Marketing
%J International Journal of Computer Applications
%@ 0975-8887
%V 129
%N 8
%P 19-22
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the evolution of online social networking and micro- blogging media, two major changes have occurred in the landscape of the Internet usage. Primarily, the Internet is replacing traditional media like television and print media as a source for obtaining news and information about current events. Secondly, the Internet has provided a platform for common people to share information and express their opinions. Quick response time and high connectivity speed have fueled the propagation and dissemination of information, by users on online social media services like Facebook, Twitter and YouTube. Twitter is a micro-blogging service, which has gained popularity as a major news source and information dissemination agent over last few years. Users on Twitter, create their public / private profile and post messages (also referred as tweets or statuses) via the profile. The maximum length of the tweet can be 140 characters. Each post on Twitter is characterized by two main components: the tweet (content and associated metadata) and the user (source) who posted the tweet. Studies have explored and highlighted the role of Twitter as a news media and a platform to gauge public sentiments.

References
  1. OkapiBM25algorithm.https://en.wikipedia.org/wiki/Okapi_BM25.
  2. Aditi Gupta, Ponnurangam Kumaraguru, “Credibility Ranking of Tweets during High Impact Events” July 2012 precog.iiitd.edu.in pp. 4-5
  3. Bo Zhang, Jinchuan Wang, Lei Zhang, “A Tweet-Centric Algorithm for News Ranking” 8-11 July 2013 IEEE pp. 190 - 195
  4. Cappelletti, R. , Sastry, N. , “IARank: Ranking Users on Twitter in Near Real-Time, Based on Their Information Amplification Potential” 14-16 Dec. 2012 IEEE pp. 70 - 77
  5. Raisa Varghese , Jayasree M, “A Survey on Sentiment Analysis and Opinion mining”, IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
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  7. Alexander Pak and Patrick Paroubek. 2010. Twitter as a corpus for sentiment analysis and opinion mining. Proceedings of LREC.
  8. Luciano Barbosa and Junlan Feng, 2010. Robust sentiment detection on twitter from biased and noisy data. Proceedings of the 23rd International Conference on Computational Linguistics: Posters, pages 36–44.
  9. Sysomos (2010) Exploring the use of Twitter Around the World. Available: http://www.webcitation.org/5tSpJ4fI4.
Index Terms

Computer Science
Information Sciences

Keywords

Application Program Interface Sentiment Analysis BM-25 Algorithm.