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Reseach Article

Topic Detection and Summarization of Events on Social Media Data

Published on April 2016 by Rajani D. Gavali, A.r. Kulkarni
National Seminar on Recent Trends in Data Mining
Foundation of Computer Science USA
RTDM2016 - Number 1
April 2016
Authors: Rajani D. Gavali, A.r. Kulkarni
f9c2e44b-5609-4686-a739-861d72c796cd

Rajani D. Gavali, A.r. Kulkarni . Topic Detection and Summarization of Events on Social Media Data. National Seminar on Recent Trends in Data Mining. RTDM2016, 1 (April 2016), 3-5.

@article{
author = { Rajani D. Gavali, A.r. Kulkarni },
title = { Topic Detection and Summarization of Events on Social Media Data },
journal = { National Seminar on Recent Trends in Data Mining },
issue_date = { April 2016 },
volume = { RTDM2016 },
number = { 1 },
month = { April },
year = { 2016 },
issn = 0975-8887,
pages = { 3-5 },
numpages = 3,
url = { /proceedings/rtdm2016/number1/24678-2565/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Seminar on Recent Trends in Data Mining
%A Rajani D. Gavali
%A A.r. Kulkarni
%T Topic Detection and Summarization of Events on Social Media Data
%J National Seminar on Recent Trends in Data Mining
%@ 0975-8887
%V RTDM2016
%N 1
%P 3-5
%D 2016
%I International Journal of Computer Applications
Abstract

Millions of Internet users use social sites for sharing and storing data, blogs for connecting with people and sharing information. Twitter is one of the fastest growing social sites. Short-text messages are being posted and shared at a unique rate. Twitter collects millions of tweets, which contain lots of noise and redundancy, un-structured tweets. As redundancy leads to inconsistency and less accurate result, users are unable to understand current topics of discussion. Due to time constraints readers are unable to read each and every tweet, so user requires summary to understand important information on social media. To generate summary for large amount of data, a new summarization method is proposed, namely sequential summarization, which provides a topic detection of social media and generate ordered short sub-summaries for a trending topic in order to convey the important information in few sentences. The system will implement two approaches, stream-based and semantic-based, for detecting the necessary and non-redundant subtopics within trending information.

References
  1. Dehong Gao, Wenjie Li, Xiaoyan Cai, Renxian Zhang and You Ouyang. " Sequential Summarization of Twitter Trending Topics" " IEEE/ACM Trans on Audio ,speech and language processing,vol. 22 No 2,Feb 2014
  2. Zhenhua Wang, LidanShou Ke Chen, Gang Chen and Sharad Mehrotra,. "On summarization And Timeline Generation for Evolutionary Tweet Streams". "IEEE Trans Knowl. Data Eng. ,vol 27,No 5,May 2015
  3. T. Sakaki, M. Okazaki, and Y. Matsuo, "Earthquake shakes Twitter users: Real-time event detection by social sensors," in Proc WWW-10,2010, pp. 851–860
  4. B. Sharifi, M. -A. Hutton, and J. K. Kalita, "Automatic summarization of Twitter topics," in Proc. National Workshop Design Anal. Algorithms,2010.
  5. B. Sharifi, M. -A. Hutton, and J. K. Kalita, "Experiments in microblog summarization,"in Proc. SOCIALCOM-10, 2010, pp. 49–56.
  6. Y. Duan, Z. Chen, F. Wei, M. Zhou, and H. -Y. Shum, "Twitter topic summarization by ranking tweets using social influence and content quality,"Proc. Coling-12, pp. 763–780, 2012.
  7. D. Chakrabarti and K. Punera, "Event summarization using tweets," in Proc. AAAI-11, 2011.
  8. S. Petrovic, M. Osborne, and V. Lavrenko, "Streaming first story detection with application to Twitter," in Proc. ACL-10, 2010
  9. A. Marcus, M. S. Bernstein, O. Badar, D. R. Karger, S. Madden, and R. C. Miller, "Twitinfo: Aggregating and visualizing microblogs for event exploration," in Proc. CHI-11, 2011, pp. 227–236.
  10. Gulab R. Shaikh, Digambar M. Padulkar "Template Based Abstractive Summarization of Twitter Topic with Speech Act" by Asst. Prof. , Department of CSE, VPCOE Baramati, Pune, India, India in June 2014.
Index Terms

Computer Science
Information Sciences

Keywords

Topic Detection Social Media Data Summarization Event Detection