Characterizing debate performance via aggregated twitter sentiment

Conference on Human Factors in Computing Systems - Proceedings

Volumn 2, Issue , 2010, Pages 1195-1198

  Diakopoulos, Nicholas A ^a   Shamma, David A ^b  

^a RUTGERS UNIVERSITY   (United States)

^b YAHOO RESEARCH   (United States)

Author keywords

affect; annotation; debate; journalism; sentiment; tv; video

Indexed keywords

ANALYTICAL METHODOLOGY; BLOGGING; CONTROVERSIAL TOPICS; PUBLIC AFFAIRS; SOCIAL MEDIA; TELEVISION BROADCASTERS; TEMPORAL DYNAMICS; VISUAL REPRESENTATIONS;

HUMAN ENGINEERING; SOCIAL NETWORKING (ONLINE); VISUALIZATION;

TELEVISION SYSTEMS;

EID: 77954168866     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1753326.1753504     Document Type: Conference Paper

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