Summarization Method and Timeline Generation of the Tweet

Authors(5) :-Pooja Patil, Nilamvhatte, Srushti Rajput, Ujjwala Panhalkar, K. V. Deshpande

Twitter is the most popular micro blogging web site. More than millions of tweets are posted along twitter every day. Tweets contains huge amount of noisy and redundant data. It is very important to summarize the huge amount of tweets by reducing the size of tweets and removing the noise, for improving the result accuracy. The operations over flood of tweets are not an easy task. There are so many tweets are unrelated, also arrival rate of tweets is fast. To handle these problems, there is a need of efficient and strong summarization algorithm. This algorithm should be flexible with random time duration. For topic evolution system should detect sub-topic and keeps track for any changes occur with the time. To achieve all these goals, proposed system performs three types of operations on tweets, named as clustering of tweets, summarization and topic evaluation over tweeter data. Framework has component is data duplication checking using SHA1 hashing strategy. Framework used clustering procedure it uses EM clustering and compare the EM clustering algorithm with K-means clustering algorithm. After this, tweets are summarized with greedy algorithm, which is more accuracy as compared to traditional summarization algorithm. Finally, the topic is detected for generated summary. Experimental results proves that the proposed system summarize the tweets more accurately and efficiently.

Authors and Affiliations

Pooja Patil
Department of Computer Engineering, RSCOE, Tathawade, Savitribai Phule Pune University, Pune, Maharashtra, India
Nilamvhatte
Department of Computer Engineering, RSCOE, Tathawade, Savitribai Phule Pune University, Pune, Maharashtra, India
Srushti Rajput
Department of Computer Engineering, RSCOE, Tathawade, Savitribai Phule Pune University, Pune, Maharashtra, India
Ujjwala Panhalkar
Department of Computer Engineering, RSCOE, Tathawade, Savitribai Phule Pune University, Pune, Maharashtra, India
K. V. Deshpande
Department of Computer Engineering, RSCOE, Tathawade, Savitribai Phule Pune University, Pune, Maharashtra, India

Tweet Stream, Continuous Summarization, Tweet Clustering, Summary, Timeline

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Publication Details

Published in : Volume 4 | Issue 8 | May-June 2018
Date of Publication : 2018-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 333-339
Manuscript Number : IJSRSET173822
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Pooja Patil, Nilamvhatte, Srushti Rajput, Ujjwala Panhalkar, K. V. Deshpande, " Summarization Method and Timeline Generation of the Tweet, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 8, pp.333-339, May-June-2018.
Journal URL : http://ijsrset.com/IJSRSET173822

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