Influential Detection in Twitter Using Tweet Quality Analysis

Abstract

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.