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title: "Workshop on Computational Approaches to Subjectivity,"
description: "All 30 papers of Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2021, the most cited first…"
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# Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2021: all accepted papers

30 papers · the most cited first · [← Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2021](https://md.research.elamur.ai/free/en/venues/wassa/2021/)

1. **[An End-to-End Network for Emotion-Cause Pair Extraction ↗](https://aclanthology.org/2021.wassa-1.9/)**Aaditya Singh, Shreeshail Hingane, Saim Wani et al.
2. **[Analyzing Curriculum Learning for Sentiment Analysis along Task Difficulty, Pacing and Visualization Axes ↗](https://aclanthology.org/2021.wassa-1.13/)**Anvesh Rao Vijjini, Kaveri Anuranjana, Radhika Mamidi
3. **[Creating and Evaluating Resources for Sentiment Analysis in the Low-resource Language: Sindhi ↗](https://aclanthology.org/2021.wassa-1.20/)**Wazir Ali, Naveed Ali, Yong Dai et al.
4. **[Disentangling Document Topic and Author Gender in Multiple Languages: Lessons for Adversarial Debiasing ↗](https://aclanthology.org/2021.wassa-1.6/)**Erenay Dayanik, Sebastian Padó
5. **[Emotion Ratings: How Intensity, Annotation Confidence and Agreements are Entangled ↗](https://aclanthology.org/2021.wassa-1.5/)**Enrica Troiano, Sebastian Padó, Roman Klinger
6. **[Emotion-Aware, Emotion-Agnostic, or Automatic: Corpus Creation Strategies to Obtain Cognitive Event Appraisal Annotations ↗](https://aclanthology.org/2021.wassa-1.17/)**Jan Hofmann, Enrica Troiano, Roman Klinger
7. **[Emotional RobBERT and Insensitive BERTje: Combining Transformers and Affect Lexica for Dutch Emotion Detection ↗](https://aclanthology.org/2021.wassa-1.27/)**Luna De Bruyne, Orphee De Clercq, Veronique Hoste
8. **[EmpNa at WASSA 2021: A Lightweight Model for the Prediction of Empathy, Distress and Emotions from Reactions to News Stories ↗](https://aclanthology.org/2021.wassa-1.28/)**Giuseppe Vettigli, Antonio Sorgente
9. **[Explainable Detection of Sarcasm in Social Media](https://md.research.elamur.ai/free/en/papers/akula-2021-explainable-detection-sarcasm-social-media/)**Ramya Akula, Ivan Garibay*our summary*
10. **[Exploring Implicit Sentiment Evoked by Fine-grained News Events ↗](https://aclanthology.org/2021.wassa-1.15/)**Cynthia Van Hee, Orphee De Clercq, Veronique Hoste
11. **[Exploring Stylometric and Emotion-Based Features for Multilingual Cross-Domain Hate Speech Detection ↗](https://aclanthology.org/2021.wassa-1.16/)**Ilia Markov, Nikola Ljubešić, Darja Fišer et al.
12. **[FEEL-IT: Emotion and Sentiment Classification for the Italian Language ↗](https://aclanthology.org/2021.wassa-1.8/)**Federico Bianchi, Debora Nozza, Dirk Hovy
13. **[Hate Towards the Political Opponent: A Twitter Corpus Study of the 2020 US Elections on the Basis of Offensive Speech and Stance Detection](https://md.research.elamur.ai/free/en/papers/grimminger-2021-hate-political-opponent-twitter-corpus/)**Lara Grimminger, Roman Klinger*our summary*
14. **[L3CubeMahaSent: A Marathi Tweet-based Sentiment Analysis Dataset ↗](https://aclanthology.org/2021.wassa-1.23/)**Atharva Kulkarni, Meet Mandhane, Manali Likhitkar et al.
15. **[Language that Captivates the Audience: Predicting Affective Ratings of TED Talks in a Multi-Label Classification Task ↗](https://aclanthology.org/2021.wassa-1.2/)**Elma Kerz, Yu Qiao, Daniel Wiechmann
16. **[Lightweight Models for Multimodal Sequential Data ↗](https://aclanthology.org/2021.wassa-1.14/)**Soumya Sourav, Jessica Ouyang
17. **[Me, myself, and ire: Effects of automatic transcription quality on emotion, sarcasm, and personality detection](https://md.research.elamur.ai/free/en/papers/culnan-2021-me-myself-ire-effects-automatic/)**John Culnan, Seongjin Park, Meghavarshini Krishnaswamy et al.*our summary*
18. **[MilaNLP @ WASSA: Does BERT Feel Sad When You Cry? ↗](https://aclanthology.org/2021.wassa-1.29/)**Tommaso Fornaciari, Federico Bianchi, Debora Nozza et al.
19. **[Multi-Emotion Classification for Song Lyrics ↗](https://aclanthology.org/2021.wassa-1.24/)**Darren Edmonds, João Sedoc
20. **[Nearest neighbour approaches for Emotion Detection in Tweets ↗](https://aclanthology.org/2021.wassa-1.22/)**Olha Kaminska, Chris Cornelis, Veronique Hoste
21. **[ONE: Toward ONE model, ONE algorithm, ONE corpus dedicated to sentiment analysis of Arabic/Arabizi and its dialects ↗](https://aclanthology.org/2021.wassa-1.25/)**Imane Guellil, Faical Azouaou, Fodil Benali et al.
22. **[PVG at WASSA 2021: A Multi-Input, Multi-Task, Transformer-Based Architecture for Empathy and Distress Prediction ↗](https://aclanthology.org/2021.wassa-1.11/)**Atharva Kulkarni, Sunanda Somwase, Shivam Rajput et al.
23. **[Partisanship and Fear are Associated with Resistance to COVID-19 Directives ↗](https://aclanthology.org/2021.wassa-1.3/)**Mike Lindow, David DeFranza, Arul Mishra et al.
24. **[Synthetic Examples Improve Cross-Target Generalization: A Study on Stance Detection on a Twitter corpus.](https://md.research.elamur.ai/free/en/papers/conforti-2021-synthetic-examples-improve-cross-target/)**Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar et al.*our summary*
25. **[Team Phoenix at WASSA 2021: Emotion Analysis on News Stories with Pre-Trained Language Models ↗](https://aclanthology.org/2021.wassa-1.30/)**Yash Butala, Kanishk Singh, Adarsh Kumar et al.
26. **[Towards Emotion Recognition in Hindi-English Code-Mixed Data: A Transformer Based Approach ↗](https://aclanthology.org/2021.wassa-1.21/)**Anshul Wadhawan, Akshita Aggarwal
27. **[ToxCCIn: Toxic Content Classification with Interpretability ↗](https://aclanthology.org/2021.wassa-1.1/)**Tong Xiang, Sean MacAvaney, Eugene Yang et al.
28. **[Universal Joy A Data Set and Results for Classifying Emotions Across Languages ↗](https://aclanthology.org/2021.wassa-1.7/)**Sotiris Lamprinidis, Federico Bianchi, Daniel Hardt et al.
29. **[WASSA 2021 Shared Task: Predicting Empathy and Emotion in Reaction to News Stories ↗](https://aclanthology.org/2021.wassa-1.10/)**Shabnam Tafreshi, Orphee De Clercq, Valentin Barriere et al.
30. **[WASSA@IITK at WASSA 2021: Multi-task Learning and Transformer Finetuning for Emotion Classification and Empathy Prediction ↗](https://aclanthology.org/2021.wassa-1.12/)**Jay Mundra, Rohan Gupta, Sagnik Mukherjee
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