Survey on Summarization Method and Timeline Generation of the Tweet

Pooja Patil; Ujjwala Panhalkar; Srushti Rajput; Nilam vhatte; K. V. Deshpande

doi:10.32628/CSEIT1831455

Survey on Summarization Method and Timeline Generation of the Tweet

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

Recently tweeter is growing as one of the famous social networking sites among the users. It may be in the form of short messages with limited of words. Users shared the tweet among the other users. More than 400 million tweets are received by the tweeter. Tweets contain different types of data that might be reviews or opinions on certain topic, some discussions, news, discussion on problems and solutions, blogs and more. In this paper we survey about the different technique used for extracting tweet and generating summary from the tweet. In this paper we discussed about the different summarization algorithms, and techniques used for timeline generation.

Authors and Affiliations

Pooja Patil
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
Srushti Rajput
Department of Computer Engineering, RSCOE, Tathawade, Savitribai Phule Pune University, Pune, Maharashtra, India
Nilam vhatte
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.

D. Wen and G. Marshall, "Automatic Twitter Topic Summarization," Computational Science and Engineering (CSE), 2014 IEEE 17th International Conference on, Chengdu, 2014, pp. 207-212.
Zhenhua Wang, Lidan Shou, Ke Chen, “On Summarization and Timeline Generation for Evolutionary Tweet Streams”, IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 27, NO. 5, MAY 2015.
D. Gao, W. Li, X. Cai, R. Zhang and Y. Ouyang, "Sequential Summarization: A Full View of Twitter Trending Topics," in IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 22, no. 2, pp. 293-302, Feb. 2014.
J. Mao, C. Jin, X. Wang and A. Zhou, "Challenges and Issues in Trajectory Streams Clustering upon a Sliding-Window Model," 2015 12th Web Information System and Application Conference (WISA), Jinan, 2015, pp. 303-308.
K. Amma, S. Wada, K. Nakayama, Y. Akamatsu, Y. Yaguchi and K. Naruse, "Visualization of spread of topic words on Twitter using stream graphs and relational graphs," Soft Computing and Intelligent Systems (SCIS), 2014 Joint 7th International Conference on and Advanced Intelligent Systems (ISIS), 15th International Symposium on, Kitakyushu, 2014, pp. 761-764.
Z. S. Abdallah, M. M. Gaber, B. Srinivasan and S. Krishnaswamy, "StreamAR: Incremental and Active Learning with Evolving Sensory Data for Activity Recognition," 2012 IEEE 24th International Conference on Tools with Artificial Intelligence, Athens, 2012, pp. 1163-1170.
D. M. Marutschke, S. Krysanova and H. Ogawa, "Clustering Word Co-occurrences with Color Keywords Based on Twitter Feeds in Japanese and German Culture," 2015 International Conference on Culture and Computing (Culture Computing), Kyoto, 2015, pp. 191-192.
V. Sindhura and Y. Sandeep, "Medical data Opinion retrieval on Twitter streaming data," Electrical, Computer and Communication Technologies (ICECCT), 2015 IEEE International Conference on, Coimbatore, 2015, pp. 1-6.
W. Feng et al., "STREAMCUBE: Hierarchical spatio-temporal hashtag clustering for event exploration over the Twitter stream," 2015 IEEE 31st International Conference on Data Engineering, Seoul, 2015, pp. 1561-1572

Publication Details

Published in : Volume 3 | Issue 2 | January-February 2018
Date of Publication : 2018-02-28
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 141-149
Manuscript Number : CSEIT1831455
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Pooja Patil, Ujjwala Panhalkar, Srushti Rajput, Nilam vhatte, K. V. Deshpande , "Survey on Summarization Method and Timeline Generation of the Tweet", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 2, pp.141-149, January-February-2018.
Journal URL : http://ijsrcseit.com/CSEIT1831455

Article Preview

Manuscript Number : CSEIT1831455

Survey on Summarization Method and Timeline Generation of the Tweet