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A Semi-Supervised Approach to Detecting Stance in Tweets

A Semi-Supervised Approach to Detecting Stance in Tweets

3 September 2017
Amita Misra
B. Ecker
Theodore Handleman
Nicolas Hahn
M. Walker
ArXiv (abs)PDFHTML

Papers citing "A Semi-Supervised Approach to Detecting Stance in Tweets"

5 / 5 papers shown
A Multi-task Model for Sentiment Aided Stance Detection of Climate
  Change Tweets
A Multi-task Model for Sentiment Aided Stance Detection of Climate Change TweetsInternational Conference on Web and Social Media (ICWSM), 2022
Apoorva Upadhyaya
M. Fisichella
Wolfgang Nejdl
159
38
0
07 Nov 2022
A Weakly Supervised Approach for Classifying Stance in Twitter Replies
A Weakly Supervised Approach for Classifying Stance in Twitter Replies
Sumeet Kumar
R. Villa-Cox
M. Babcock
Kathleen M. Carley
159
1
0
12 Mar 2021
Semi-automatic Generation of Multilingual Datasets for Stance Detection
  in Twitter
Semi-automatic Generation of Multilingual Datasets for Stance Detection in TwitterExpert systems with applications (ESWA), 2021
Elena Zotova
Rodrigo Agerri
German Rigau
151
25
0
28 Jan 2021
Argument Strength is in the Eye of the Beholder: Audience Effects in
  Persuasion
Argument Strength is in the Eye of the Beholder: Audience Effects in Persuasion
S. Lukin
P. Anand
M. Walker
S. Whittaker
249
119
0
30 Aug 2017
Friends and Enemies of Clinton and Trump: Using Context for Detecting
  Stance in Political Tweets
Friends and Enemies of Clinton and Trump: Using Context for Detecting Stance in Political TweetsMexican International Conference on Artificial Intelligence (MICAI), 2016
Mirko Lai
D. I. H. Farías
V. Patti
Paolo Rosso
151
51
0
26 Feb 2017
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