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IJERT-EMS

A Survey on Template Based Abstractive Summarization of Twitter Topic Using Ensemble SVM with Speech Act


A Survey on Template Based Abstractive Summarization of Twitter Topic Using Ensemble SVM with Speech Act
Authors : Gulab R. Shaikh, Digambar M. Padulkar
Publication Date: 30-10-2013

Authors

Author(s):  Gulab R. Shaikh, Digambar M. Padulkar

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Vol.2 - Issue 11 (November - 2013)

e-ISSN:   2278-0181

Abstract

In this todays Internet world, social media service such as Twitter is very popular and used worldwide. In this survey paper we are going to describe various methodology and approches that are useful in twitter topic summarization. In this survey paper, we have described various approch such as analysing and summarizing of twitter tweets using SPUR (Summarization via Pattern Utility and Ranking). In Participant-based Event Summarization we are able to identify each participant that are included in event and generate summary of that event. In automatic summarization of social media we have described a search and summarization framework to extract relevant representative tweets from an unfiltered tweet stream. Also we have described sequential summarization technique for summary creation that uses stream-based approach and the semantic-based approach that create good quality summary. We have also described Phrase Reinforcement algorithm and PageRank algorithm that generate summary by extracting information from the tweets.

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