Text mining and determinants of sentiments: Twitter social media usage by traditional media houses in Uganda

Overview of attention for article published in Computational Social Networks, April 2019

Altmetric Badge

About this Attention Score

Above-average Attention Score compared to outputs of the same age (61st percentile)

Mentioned by

twitter: 4 X users

Citations

dimensions_citation: 17 Dimensions

Readers on

mendeley: 72 Mendeley

Summary X Dimensions citations

So far, Altmetric has seen 4 X posts from 4 X users, with an upper bound of 2,204 followers.

RT @WesongaRonald: Statistics can extract sentiments from textual data. #DataScience #sentiment #DataAnalytics #Analytics #RSS #ISI @DSAL…

Reply Repost Favourite

RT @WesongaRonald: Statistics can extract sentiments from textual data. #DataScience #sentiment #DataAnalytics #Analytics #RSS #ISI @DSAL…

Reply Repost Favourite

RT @WesongaRonald: Statistics can extract sentiments from textual data. #DataScience #sentiment #DataAnalytics #Analytics #RSS #ISI @DSAL…

Reply Repost Favourite

Text mining and determinants of sentiments: Twitter social media usage by traditional media houses in Uganda https://t.co/5DiqfUlMoT #csn

Reply Repost Favourite