--- title: "Workshop on Computational Approaches to Subjectivity" description: "Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2021 — accepted papers: 4 papers in the…" canonical: "https://research.elamur.ai/free/en/venues/wassa/2021/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/wassa/2021/) [home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [Workshop on Computational Approaches to…](https://md.research.elamur.ai/free/en/venues/wassa/) / 2021 # Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2021 — accepted papers Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2021 is the 2021 edition of the Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, held in Online, April 2021 (publisher: Association for Computational Linguistics). The ACL Anthology lists 30 papers of it; our library holds 4 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions. [**30** papers in the proceedings](#all) · [**4** works in our library](https://md.research.elamur.ai/free/en/venues/wassa/2021/#works) · [**93** citations of these works](https://md.research.elamur.ai/free/en/venues/wassa/2021/#works)**Online** where it was held**April 2021** when ## All accepted papers (30) The most cited first; 4 with our summary link to their page here, the others to the original. 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. [See all 30 papers in Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2021 — accepted papers →](https://md.research.elamur.ai/free/en/venues/wassa/2021/papers/) ## Papers with our summary in our library (4) The most cited first (OpenAlex citations plus our library's). 1. **[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/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Lara Grimminger, Roman Klinger*2021 · 73 citations* 2. **[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/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, et al.*2021 · 12 citations* 3. **[Explainable Detection of Sarcasm in Social Media](https://md.research.elamur.ai/free/en/papers/akula-2021-explainable-detection-sarcasm-social-media/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Ramya Akula, Ivan Garibay*2021 · 4 citations* 4. **[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/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**John Culnan, Seongjin Park, Meghavarshini Krishnaswamy, et al.*2021 · 4 citations* ## Top topics Topics of its works in our library, with the number of works on each. [Sentiment & emotion (4)](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [English (2)](https://md.research.elamur.ai/free/en/topics/english/) · [Speech & spoken language (1)](https://md.research.elamur.ai/free/en/topics/speech/) · [Vision & language (1)](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Fields [Computer Science (4)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (3)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Psychology (1)](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Social Sciences (1)](https://md.research.elamur.ai/free/en/shelves/social-sciences/) ## Top authors Authors with a page who published here most often: their works here, and the citations of those works. [🧑‍🔬**Roman Klinger**1 work here · 73 citations](https://md.research.elamur.ai/free/en/authors/roman-klinger/) · [🧑‍🔬**Chryssi Giannitsarou**1 work here · 12 citations](https://md.research.elamur.ai/free/en/authors/chryssi-giannitsarou/) · [🧑‍🔬**Costanza Conforti**1 work here · 12 citations](https://md.research.elamur.ai/free/en/authors/costanza-conforti/) · [🧑‍🔬**Flavio Toxvaerd**1 work here · 12 citations](https://md.research.elamur.ai/free/en/authors/flavio-toxvaerd/) · [🧑‍🔬**Jakob Berndt**1 work here · 12 citations](https://md.research.elamur.ai/free/en/authors/jakob-berndt/) · [🧑‍🔬**Mohammad Taher Pilehvar**1 work here · 12 citations](https://md.research.elamur.ai/free/en/authors/mohammad-taher-pilehvar/) · [🧑‍🔬**Nigel Collier**1 work here · 12 citations](https://md.research.elamur.ai/free/en/authors/nigel-collier/) · [🧑‍🔬**Rebecca Sharp**1 work here · 4 citations](https://md.research.elamur.ai/free/en/authors/rebecca-sharp/) ## Top institutions Institutions on the bylines of its works here, by the number of works. [🎓**University of Stuttgart** Stuttgart · Germany 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-stuttgart/) Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library. - [← previous Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2019](https://md.research.elamur.ai/free/en/venues/wassa/2019/) - [next → Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2022](https://md.research.elamur.ai/free/en/venues/wassa/2022/) - [↑ back to Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)