Recapitulization of Tweets Using Graph-based Clustering - Lobo, Vivian Brian;Ansari, Nazneen
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Twitter-a well-liked online social networking site-facilitates millions of users on a daily basis to dispatch and orate quick 140-character notes named tweets. Nowadays, Twitter is cogitated as the fastest and popular intermediate of communication and is used to follow latest events. Tweets pertaining to a specific event can be effortlessly found using keyword matching, but there are numerous tweets that are likely to contain information that is semantically identical. Moreover, there exist many systems for recapitulating tweets related to a particular event, but they have numerous limitations…mehr

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Produktbeschreibung
Twitter-a well-liked online social networking site-facilitates millions of users on a daily basis to dispatch and orate quick 140-character notes named tweets. Nowadays, Twitter is cogitated as the fastest and popular intermediate of communication and is used to follow latest events. Tweets pertaining to a specific event can be effortlessly found using keyword matching, but there are numerous tweets that are likely to contain information that is semantically identical. Moreover, there exist many systems for recapitulating tweets related to a particular event, but they have numerous limitations and are unable to provide accurate results. This book explains how to overcome the limitations of existing systems by developing a system for recapitulating tweets using graph-based clustering. We evaluate our developed system via user ratings and show that the developed system outperforms several state-of-the-art recapitulization systems.
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Autorenporträt
Mr. Vivian Brian Lobo is currently working as an Assistant Professor in Computer Engineering Department at St. Francis Institute of Technology, Mumbai, India. He completed his Master of Engineering (M.E.) in Computer Engineering and Bachelor of Engineering (B.E.) in Information Technology from University of Mumbai in 2017 and 2013, respectively.