ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1909.01093
  4. Cited By
Empirical Study on Detecting Controversy in Social Media

Empirical Study on Detecting Controversy in Social Media

25 August 2019
Azadeh Nematzadeh
G. Bang
Xiaomo Liu
Zhiqiang Ma
ArXiv (abs)PDFHTML

Papers citing "Empirical Study on Detecting Controversy in Social Media"

3 / 3 papers shown
ESG-FTSE: A corpus of news articles with ESG relevance labels and use
  cases
ESG-FTSE: A corpus of news articles with ESG relevance labels and use cases
Mariya Pavlova
Bernard Casey
Miaosen Wang
142
3
0
30 May 2024
Heterogeneous Ensemble for ESG Ratings Prediction
Heterogeneous Ensemble for ESG Ratings Prediction
Timo Krappel
Alexander A. Bogun
Damian Borth
106
23
0
21 Sep 2021
Integrating Semantic and Structural Information with Graph Convolutional
  Network for Controversy Detection
Integrating Semantic and Structural Information with Graph Convolutional Network for Controversy Detection
L. Zhong
Juan Cao
Qiang Sheng
Junbo Guo
Ziang Wang
199
27
0
16 May 2020
1
Page 1 of 1