Tweet Summarization and Segmentation: A Survey


EOI: 10.11242/viva-tech.01.01.04

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Citation

Siddhi Naik, Swati Mamidipelli, Shruti Lade and Prof. Ashwini Save, "Tweet Summarization and Segmentation: A Survey", VIVA-Tech IJRI Volume 1, Issue 1, Article 4, pp. 1-6, Oct 2018. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.

Abstract

The use of social media is increasing day by day. It has become an important medium for getting information about current happenings around the world. Among various social media platforms, with millions of users, twitter is one of the most prominent social networking site. Over the years sentiment analysis is being performed on twitter to understand what tweets that are posted mean. The purpose of this paper is to survey various tweet segmentation and summarization techniques and the importance of Particle Swarm Optimization (PSO) algorithm for tweet summarization [1][2].

Keywords

Tweet-Summarization, segmentation, Particle swarm optimization.

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