TY - GEN
T1 - A sentiment analysis of audiences on twitter
T2 - 5th International Conference on Convergence and Hybrid Information Technology, ICHIT 2011
AU - Bae, Younggue
AU - Lee, Hongchul
PY - 2011
Y1 - 2011
N2 - Microblogging is a new informal communication medium of blogging that differs from a traditional blog in which content is much shorter. Microbloggers post about topics that describe their current status. Twitter is a popular microblogging service and social media where users read and write millions of short messages on any topics within the 140-character limit. Twitter is used to find the context of social trend. Popular or influential users tweet about their status and are retweeted, mentioned or replied to by their audience. A sentiment analysis of the tweets of popular users and their audiences discovers whether the audience is favorable or unfavorable to the views expressed by such popular users. We conducted a content analysis of over 1,000,000 tweets mentioning or replying to their thirteen most influential users to discover the sentiment of the audience. Arguably, Twitter messages reflect the silent landscape of sentiment towards its most popular users. This study uses the technique of Sentiment Analysis to deliver a valid popularity indicator or measure.
AB - Microblogging is a new informal communication medium of blogging that differs from a traditional blog in which content is much shorter. Microbloggers post about topics that describe their current status. Twitter is a popular microblogging service and social media where users read and write millions of short messages on any topics within the 140-character limit. Twitter is used to find the context of social trend. Popular or influential users tweet about their status and are retweeted, mentioned or replied to by their audience. A sentiment analysis of the tweets of popular users and their audiences discovers whether the audience is favorable or unfavorable to the views expressed by such popular users. We conducted a content analysis of over 1,000,000 tweets mentioning or replying to their thirteen most influential users to discover the sentiment of the audience. Arguably, Twitter messages reflect the silent landscape of sentiment towards its most popular users. This study uses the technique of Sentiment Analysis to deliver a valid popularity indicator or measure.
KW - Twitter
KW - social and behavioral sciences
KW - social networks
UR - http://www.scopus.com/inward/record.url?scp=80054056737&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80054056737&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-24082-9_89
DO - 10.1007/978-3-642-24082-9_89
M3 - Conference contribution
AN - SCOPUS:80054056737
SN - 9783642240812
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 732
EP - 739
BT - Convergence and Hybrid Information Technology - 5th International Conference, ICHIT 2011, Proceedings
Y2 - 22 September 2011 through 24 September 2011
ER -