Multi Post Summarization Using Clustering Technique
R. Jebakumar, Shubham Shrivastava, Hitesh Ramchandani · SSRN Electronic Journal · 2018
Micro blogs like News Blogs/Twitter are now considered as one of the fastest and most popular communication mediums, and is frequently used to keep track of recent events or news-stories. Whereas post of a particular event, news or story or even posts similar to them can be found by searching the key words which contain identical information. If a user wants to keep track of an event or news-story, it is very difficult for him to keep track of all the tweets or posts as they might contain unique or identical information. Hence, it is desirable to have good techniques to summarize large number of tweets. In this paper, Multi Post Summarization using Clustering Technique (MPSCT) proposes a sentimental analyzed cluster-based approach for summarizing tweets. Public response is important for any organisation as it can help them improve their business strategies and can also be used for predicting socio-economic phenomena like stock exchange or predicting political election.