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Multilingual Twitter Sentiment Classification: The Role of Human
  Annotators
v1v2 (latest)

Multilingual Twitter Sentiment Classification: The Role of Human Annotators

24 February 2016
I. Mozetič
Miha Grcar
Jasmina Smailovic
ArXiv (abs)PDFHTML

Papers citing "Multilingual Twitter Sentiment Classification: The Role of Human Annotators"

6 / 6 papers shown
Title
SemEval-2013 Task 2: Sentiment Analysis in Twitter
SemEval-2013 Task 2: Sentiment Analysis in Twitter
Preslav Nakov
Zornitsa Kozareva
Alan Ritter
Sara Rosenthal
Veselin Stoyanov
Theresa Wilson
62
391
0
14 Dec 2019
SemEval-2015 Task 10: Sentiment Analysis in Twitter
SemEval-2015 Task 10: Sentiment Analysis in Twitter
Sara Rosenthal
Saif M. Mohammad
Preslav Nakov
Alan Ritter
S. Kiritchenko
Veselin Stoyanov
63
422
0
05 Dec 2019
Sentiment of Emojis
Sentiment of Emojis
Petra Kralj Novak
Jasmina Smailovic
Borut Sluban
I. Mozetič
62
824
0
25 Sep 2015
Sentiment Uncertainty and Spam in Twitter Streams and Its Implications
  for General Purpose Realtime Sentiment Analysis
Sentiment Uncertainty and Spam in Twitter Streams and Its Implications for General Purpose Realtime Sentiment Analysis
Nils Haldenwang
O. Vornberger
29
3
0
25 Sep 2015
Twitter Sentiment Analysis: Lexicon Method, Machine Learning Method and
  Their Combination
Twitter Sentiment Analysis: Lexicon Method, Machine Learning Method and Their Combination
Olga Kolchyna
T. T. P. Souza
Philip C. Treleaven
T. Aste
82
519
0
03 Jul 2015
Human language reveals a universal positivity bias
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
71
366
0
15 Jun 2014
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