Open AccessREVIEW ON: KEYWORD BASED OPERATIVE SUMMARIZATION USING EVOLUTIONARY TWEETS
Author(s) -
Manisha Kadam Vrushali Muley*
Publication year - 2017
Publication title -
zenodo (cern european organization for nuclear research)
Language(s) - English
DOI - 10.5281/zenodo.400962
Subject(s) - automatic summarization , information retrieval , keyword search , computer science
Small text messages such as tweets are shared at an unprecedented rate. As the data is growing enormously, analysis of this data is hard to achieve. So in this paper we propose a system which generates summary from the given dataset. In his system we used an algorithm named Tweet Cluster Veector (TCV), which is used in data cluster formation, a TCV- Rank summarization method is used in summary generation, and Topic evolution detection method is used for topic relevant summary generation. The system provides flexibility and effective summarization of the given dataset