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Asian Research Consortium
Asian Journal of Research in Social Sciences and Humanities
Vol. 6, No. 7, July 2016, pp. 1000-1007
Asian Journal
of Research in
Social Sciences
and
Humanities
ISSN 2249-7315
A Journal Indexed in Indian Citation Index
www.aijsh.com
DOI NUMBER: 10.5958/2249-7315.2016.00483.4
Category:Science and Technology
Hotspot Detection and Analysis in Chat Environment
Dr. K. Nirmala Devi*
*Kongu Engineering College,
Perundurai.
Abstract
In the recent age of internet, one of the media that is quite commonly used by many people is social
media which has become an important information resource for showing the happenings around the
globe. A fast development in the social media like discussion forums, e-mail and chat environment
resources are contributing greatly to the collective knowledge that remains unused. The instant
communication is effectively attracting by many people in the chat environment. The sparseness of
those data is a challenging for analysis. Therefore, it is necessary to understand the opinion of the
users by analyzing the conversations. Determination of chat conversation topic is one of the
important areas in chat mining. The conversation of the chat data is stored in the log files and that
plays major role for performing the analysis. The proposed system aims to identify which topic or
incident is more predominant in the world of cricket for a particular period of time. In order to
identify the possible topics of the chat, the cricket news and posts collected from cricket sites and
are grouped by clustering. The matching between chat log data and cricket site data is performed,
where centroid of the cluster helps to decide the hot topic in the corresponding time window. The
experiment on real data set provides meaningful information and significantly very much useful.
Keywords: Hotspot, Text mining, K-means, Enhanced K-means, Social Media.
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