Detailed Descriptive and Predictive Analytics with Twitter Based TV Ratings

Abstract
Authors
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References

In recent years, social media has become ubiquitous and important for social networking and content sharing. And yet, the content that is generated from these websites remains largely untapped. This paper demonstrates about how social media content can be used for descriptive and predictive analytics. In particular, chatter from Twitter.com was used to find the contribution of mobile device usage in different cities of India giving predictive analytics.

Published In : IJCAT Journal Volume 1, Issue 4

Date of Publication : 31 May 2014

Pages : 125 - 130

Figures : 06

Tables : --

Publication Link : Detailed Descriptive and Predictive Analytics with Twitter Based TV Ratings

Amrapali Mhaisgawali : Vivekanand Institute of Technology, Chembur, Mumbai, India

Dr Nupur Giri : Vivekanand Institute of Technology, Chembur, Mumbai, India

Twitter

TV Rating

Microblogging

Sentiment Analytics

In this paper we had described the detail descriptive and predictive analytics on large amount of twitter data. We had described how advertisement slot can be selected depends upon time slot as well as cost of advertisement per 10 seconds. We also predicted that any new mobile device can be launched in which city.

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