Influential Detection in Twitter Using Tweet Quality Analysis

To create the content available on social media platforms such as twitter, is easy and creative. Such information have become strategically important for companies interested in obtaining feedback for their products, for brand endorsements, merchandising etc. By analyzing the content from social med...

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Bibliographic Details
Published in:	2017 Second International Conference on Recent Trends and Challenges in Computational Models (ICRTCCM) pp. 315 - 319
Main Authors:	Mahalakshmi, G. S., Koquilamballe, K., Sendhilkumar, S.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-02-2017
Subjects:	Algorithm design and analysis Analytical models Companies Feature extraction Influential User Klout Analyssi Tweet Quality Twitter
Online Access:	Get full text
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Summary:	To create the content available on social media platforms such as twitter, is easy and creative. Such information have become strategically important for companies interested in obtaining feedback for their products, for brand endorsements, merchandising etc. By analyzing the content from social media like twitter, companies can decide their target groups and select influential users from these platforms to promote or endorse their brands. This paper discusses analyzing influential users from twitter data using semantic quality mining of tweets. Klout score is used for evaluating the obtained results.
DOI:	10.1109/ICRTCCM.2017.62