Rahul Y. Modi, Indr Jeet Rajput
Tweet , Endorsement , Measurement
In the last few year many people wants to create your own network in social site because the social media is very fast growing filed in recent year and every people want to connect to their friends and family with each and every time. So the each user can aware of the rules and regulation of the social media. The topic evolution is created using the time line by summarizing tweet in tweet stream and the sub topic is presented by the chronological way. There are different way to select the sub topic one of them is to select the salient tweet to generate the ranking record based on the salience. Tweet is suffering because the writing style and information is loss so it is differentiate from the traditional in this research work we manly focus on performance using the text based sequential summarization and network based sequential summarization for sub topic detection and we also improve the quality of the tweet is also increases. Also get accurate tweet difference in different field like coffee, gold, silver, cocco and many more so using this proposed flow we can reduce time and don’t get manipulate. We can get the batter improvement if the quality of the tweet content is good, if the quality of the content is batter then we can give the proper relationship to each tweet.
Article Details
Unique Paper ID: 142733

Publication Volume & Issue: Volume 2, Issue 6

Page(s): 37 - 42
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