Evaluation of Television Shows Popularity Based on Twitter Data using Sentiment Examination Techniques
D. N. V. S. L. S. Indira1, JNVR Swarup Kumar2, Y. Adi Lakshmi3, N. Rajeswari4
1D. N. V. S. L. S. Indira, Department of IT, Gudlavalleru Engineering College, Gudlavalleru (Andhra Pradesh), India.
2JNVR Swarup Kumar, Department of CSE, Gudlavalleru Engineering College, Gudlavalleru (Andhra Pradesh), India.
3Y. Adi Lakshmi, Department of CSE, Gudlavalleru Engineering College, Gudlavalleru (Andhra Pradesh), India.
4N. Rajeswari, Department of CSE, Gudlavalleru Engineering College, Gudlavalleru (Andhra Pradesh), India.
Manuscript received on 15 September 2019 | Revised Manuscript received on 24 September 2019 | Manuscript Published on 10 October 2019 | PP: 892-896 | Volume-8 Issue-6S2, August 2019 | Retrieval Number: F12180886S219/19©BEIESP | DOI: 10.35940/ijeat.F1218.0886S219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: A Blogging platform promotes you to conferrer expose your current status in the type of short posts by making utilization of texting, social media along with online messages. In the meantime, this is constantly producing large amounts of un-sorted and un-organized information which has turned out to be a perplexing responsibility for examination. Twitter, the interpersonal organization benefit, is a rich wellspring of data on client reaction to an occasion, for example, a TV program. Here, we present a contextual investigation where we consider freely accessible tweets that were posted when a famous TV indicate was publicized. We utilize standard content mining methods to dissect the tweets and know the rating of show. This analysis can be used by producers for future shows for improving their business.
Keywords: Popularity, Television, Twitter Data, Sentiment, Analysis.
Scope of the Article: Data Analytic