Benchmarking sentiment analysis methods for large-scale texts: A case for using continuum-scored words and word shift graphs

2 December 2015

Papers citing "Benchmarking sentiment analysis methods for large-scale texts: A case for using continuum-scored words and word shift graphs"

8 / 8 papers shown

Title
Reply to Garcia et al.: Common mistakes in measuring frequency dependent word characteristics P. Dodds E. Clark Suma Desu M. Frank A. J. Reagan ... James P. Bagrow Karine Megerdoomian M. McMahon B. Tivnan C. Danforth 39 8 0 25 May 2015
Characterizing the Google Books corpus: Strong limits to inferences of socio-cultural and linguistic evolution E. Pechenick C. Danforth P. Dodds 84 307 0 05 Jan 2015
Human language reveals a universal positivity bias P. Dodds E. Clark Suma Desu M. Frank A. J. Reagan ... James P. Bagrow Karine Megerdoomian M. McMahon B. Tivnan C. Danforth 56 366 0 15 Jun 2014
Comparing and Combining Sentiment Analysis Methods Pollyanna Gonçalves Matheus Araújo Fabrício Benevenuto M. Cha 61 432 0 30 May 2014
Crowdsourcing a Word-Emotion Association Lexicon Saif M. Mohammad Peter D. Turney 62 2,311 0 28 Aug 2013
NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets Saif M. Mohammad S. Kiritchenko Xiao-Dan Zhu 72 1,075 0 28 Aug 2013
A new ANEW: Evaluation of a word list for sentiment analysis in microblogs F. Nielsen 100 1,311 0 15 Mar 2011
Twitter mood predicts the stock market J. Bollen Huina Mao Xiao-Jun Zeng AIFin 104 5,099 0 14 Oct 2010