CFP last date
20 January 2025
Reseach Article

Finding Tweet Events

Published on January 2015 by Abhaya Kumar Pradhan, Hrushikesha Mohanty
International Conference on Distributed Computing and Internet Technology
Foundation of Computer Science USA
ICDCIT2015 - Number 1
January 2015
Authors: Abhaya Kumar Pradhan, Hrushikesha Mohanty
06c33ae3-b923-4d11-b5ab-ef9001b7cdb4

Abhaya Kumar Pradhan, Hrushikesha Mohanty . Finding Tweet Events. International Conference on Distributed Computing and Internet Technology. ICDCIT2015, 1 (January 2015), 5-12.

@article{
author = { Abhaya Kumar Pradhan, Hrushikesha Mohanty },
title = { Finding Tweet Events },
journal = { International Conference on Distributed Computing and Internet Technology },
issue_date = { January 2015 },
volume = { ICDCIT2015 },
number = { 1 },
month = { January },
year = { 2015 },
issn = 0975-8887,
pages = { 5-12 },
numpages = 8,
url = { /proceedings/icdcit2015/number1/19407-4002/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Distributed Computing and Internet Technology
%A Abhaya Kumar Pradhan
%A Hrushikesha Mohanty
%T Finding Tweet Events
%J International Conference on Distributed Computing and Internet Technology
%@ 0975-8887
%V ICDCIT2015
%N 1
%P 5-12
%D 2015
%I International Journal of Computer Applications
Abstract

Finding events from streaming tweets is challenging for needing efficient algorithm enable to scoop events from a tweet with restricted text size and to process fast as at given time large number of tweets are emanate on cyberspace. This paper proposes a syntax based approach and presents a preliminary experimental result.

References
  1. Charu C. Aggarwal, and Karthik Subbian. Event Detection in Social Streams. In Proceedings of the SIAM International Conference on Data Mining, pages 624-635, 2012.
  2. Ruchi Parikh, and Kamalakar Karlapalem. ET: Events from Tweets. In Proceedings of the 22nd international conference on World Wide Web companion, pages 613-620, 2013.
  3. Maximilian Walther, and Michael Kaisser. Geo-spatial Event Detection in the Twitter Stream. Advances in Information Retrieval Lecture Notes in Computer Science, Volume 7814, pages 356-367, 2013.
  4. Andrew J. McMinn, Daniel Tsvetkov, Tsvetan Yordanov, Andrew Patterson, Rrobi Szk, Jesus A. Rodriguez Perez, and Joemon M. Josey. An Interactive Interface for Visualizing Events on Twitter. In Proceedings of the 37th international ACM SIGIR conference on R&D in information retrieval, pages 1271-1272, 2014.
  5. Aiello L. M. , Petkos G. , Martin C. , Corney D. , Papadopoulos S. , Skraba R. , Goker A. , Kompatsiaris I. , and Jaimes A. . Sensing Trending Topics in Twitter. Multimedia, IEEE Transactions,Volume 15,issue 6, pages 1268-1282, 2013.
  6. Ana-Maria Popescu, Marco Pennacchiotti, and Deepa Arun Paranjpe. Extracting Events and Event Descriptions from Twitter. Proceedings of the 20th international conference companion on World wide web, pages 105-106, 2011.
  7. Mario Cataldi, Luigi Di Caro, and Claudio Schifanella. Emerging topic detection on Twitter based on temporal and social terms evaluation. In Proceedings of the Tenth International Workshop on Multimedia Data Mining (MDMKDD '10), Article 4, 2010.
  8. Eiji Aramaki, Sachiko Maskawa, and Mizuki Morita. Twitter catches the flu: detecting influenza epidemics using Twitter. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP '11), pages 1568-1576, 2011.
  9. Chenliang Li, Aixin Sun, and Anwitaman Datta. Twevent: segment-based event detection from tweets. In Proceedings of the 21st ACM international conference on Information and knowledge management (CIKM '12), pages 155-164, 2012.
  10. David Corney, Carlos Martin, and Ayse G¨oker. Spot the Ball: Detecting Sports Events on Twitter. Advances in Information Retrieval Lecture Notes in Computer Science, Volume 8416, pages 449-454, 2014.
  11. Ahmed A. A. Esmin, Rômulo S. C. Júnior, Wagner S. Santos, Cássio O. Botaro, and Thiago P. Nobre. Real-Time Summarization of Scheduled Soccer Games from Twitter Stream. Natural Language Processing and Information Systems Lecture Notes in Computer Science, Volume 8455, pages 220-223, 2014.
  12. Rui Li, Kin Hou Lei, Khadiwala R. , Chang, K. C. -C. . TEDAS: A Twitter-based Event Detection and Analysis System. Data Engineering (ICDE), IEEE 28th International Conference, pages 1273-1276, 2012.
  13. Xiangmin Zhou, Lei Chen. Event detection over twitter social media streams. The DLVB Journal, Volume 23, issue 3, pages 381-400, 2014.
  14. Khan, M. A. H. , Bollegala, D. , Guangwen Liu, Sezaki, K. . Multi-tweet Summarization of Real-Time Events. International Conference on Social Computing (SocialCom), pages 128-133, 2013.
Index Terms

Computer Science
Information Sciences

Keywords

Event Detection Social Stream Analysis Clustering Twitter Social Media