Indian Journal of Science and Technology
Year: 2016, Volume: 9, Issue: 44, Pages: 1-4
V. Laxmi Narasamma and M. Sreedevi
Department of Computer Science and Engineering, KL University, Vaddeswaram 522502, Andhra Preadesh, India; [email protected], [email protected]
Objective: Data mining is the driving force for analysing and summarization of available data in various forms and restores it for further needs. Summarization of various literature studies have been done by the researchers based on tweets and its summarization method applied on the datasets has to be identified for analysis. Methods/Statistical Analysis: The analysis has been in learning the methods or techniques used from the literature of various researches in gathering knowledge of various tweets datasets used and the way in which they have analysed the datasets from small tweets of unstructured to the large blogs. Findings: Various pro and cons of techniques and methods used by the researchers are identified as to the knowledge for better development of new methods for fast and accurate data analysis on tweets and blog. Application/Improvements: The paper gives us an idea to data experts and user how to prevent issues of tweets and various methods used for tweets analysis timely for summarization and data analysis.
Keywords: Clustering, Micro-Blogging, Summarization, Timeline Generation, Tweets
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