Apoorva Upadhyaya

Orcid: 0000-0002-5796-8704

According to our database1, Apoorva Upadhyaya authored at least 12 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Harnessing Empathy and Ethics for Relevance Detection and Information Categorization in Climate and COVID-19 Tweets.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Towards sentiment and Temporal Aided Stance Detection of climate change tweets.
Inf. Process. Manag., 2023

A Multi-task Model for Emotion and Offensive Aided Stance Detection of Climate Change Tweets.
Proceedings of the ACM Web Conference 2023, 2023

Intensity-Valued Emotions Help Stance Detection of Climate Change Twitter Data.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

A Multi-Task Model for Sentiment Aided Stance Detection of Climate Change Tweets.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

Toxicity, Morality, and Speech Act Guided Stance Detection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Using ChatGPT to Enhance Students' Behavior in Social Media via the Moral Foundation Theory (short paper).
Proceedings of the First International Workshop on High-performance Artificial Intelligence Systems in Education co-located with 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), 2023

2022
Spotting Flares: The Vital Signs of the Viral Spread of Tweets Made During Communal Incidents.
ACM Trans. Web, 2022

A Multitask Multimodal Ensemble Model for Sentiment- and Emotion-Aided Tweet Act Classification.
IEEE Trans. Comput. Soc. Syst., 2022

How Learnweb Can Support Science Education Research on Climate Change in Social Media.
Proceedings of the Methodologies and Intelligent Systems for Technology Enhanced Learning, 2022

2021
Towards Sentiment and Emotion aided Multi-modal Speech Act Classification in Twitter.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020
EnDeA: Ensemble based Decoupled Adversarial Learning for Identifying Infrastructure Damage during Disasters.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020


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