%0 Conference Proceedings
%T Insights from Twitter Analytics: Modeling Social Media Personality Dimensions and Impact of Breakthrough Events
%+ Indian Institute of Technology Delhi (IIT Delhi)
%A Lakhiwal, Akshat
%A Kar, Arpan, Kumar
%Z Part 6: Data Acquisition, Management and Analytics
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 15th Conference on e-Business, e-Services and e-Society (I3E)
%C Swansea, United Kingdom
%Y Yogesh K. Dwivedi
%Y Matti Mäntymäki
%Y M.N. Ravishankar
%Y Marijn Janssen
%Y Marc Clement
%Y Emma L. Slade
%Y Nripendra P. Rana
%Y Salah Al-Sharhan
%Y Antonis C. Simintiras
%I Springer International Publishing
%3 Social Media: The Good, the Bad, and the Ugly
%V LNCS-9844
%P 533-544
%8 2016-09-13
%D 2016
%R 10.1007/978-3-319-45234-0_47
%K Twitter analytics
%K Social media
%K Big data
%K Network analytics
%K Content analytics
%K Sentiment analytics
%K Brand personality
%K Dimensions
%Z Computer Science [cs]
%Z Computer Science [cs]/Networking and Internet Architecture [cs.NI]Conference papers
%X Social media and big data have been in high focus due to their potentially huge impact on business, society and polity. This research contributes to the same domain and peruses the twitter community before and after an event which is a major breakthrough for an economy. Here, the event being monitored is the Union Budget-2016 in India. The research taps the occasion to understand the various groups which participate in the online discussion amongst 43,924 tweets from 22,896 users and the pre and post budget twitter metrics are analyzed, deducing the sensitivity of the groups to the day of proposal of the budget. The research framework incorporates twitter analytics and relies on visual and quantitative data, drawing inferences from the intelligence. How the personality dimensions change before and after the event, is also analyzed. This change in dimensions can directly account for the influencing nature of the social media group.
%G English
%Z TC 6
%Z WG 6.11
%2 https://inria.hal.science/hal-01702159/document
%2 https://inria.hal.science/hal-01702159/file/396007_1_En_47_Chapter.pdf
%L hal-01702159
%U https://inria.hal.science/hal-01702159
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC6
%~ IFIP-WG6-11
%~ IFIP-I3E
%~ IFIP-LNCS-9844