---
title: "Workshop on Computational Approaches to Subjectivity"
description: "Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis: 13 works in the Elamur Research library (2013–2022), 1,921…"
canonical: "https://research.elamur.ai/free/en/venues/wassa/"
---
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# Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis

Workshop series Published by [Association for Computational Linguistics](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/)

- [ACL Anthology](https://aclanthology.org/venues/wassa/)
- [OpenAlex](https://openalex.org/S7407086237)

[**13** works in our library](https://md.research.elamur.ai/free/en/venues/wassa/#works) · [**1,921** citations of these works](https://md.research.elamur.ai/free/en/venues/wassa/#works) · [**429** citations in our library](https://md.research.elamur.ai/free/en/venues/wassa/#works) · [**2013–2022** years of the works here](#years)

## Works by year

Works in our library by year 13 dated works from 2013 to 2022; the busiest year is 2017 with 3.

**The numbers**

| Year | Works |
| --- | --- |
| 2022 | 1 |
| 2021 | 2 |
| 2019 | 1 |
| 2018 | 1 |
| 2017 | 3 |
| 2016 | 1 |
| 2015 | 1 |
| 2014 | 2 |
| 2013 | 1 |

## Top topics

Topics of its works in our library, with the number of works on each.

[Sentiment & emotion (13)](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [English (1)](https://md.research.elamur.ai/free/en/topics/english/)

## Fields

[Computer Science (13)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (9)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Psychology (3)](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**3 works here · 342 citations](https://md.research.elamur.ai/free/en/authors/roman-klinger/) · [🧑‍🔬**Aditya Joshi**3 works here · 145 citations](https://md.research.elamur.ai/free/en/authors/aditya-joshi/) · [🧑‍🔬**Pushpak Bhattacharyya**2 works here · 143 citations](https://md.research.elamur.ai/free/en/authors/pushpak-bhattacharyya/) · [🧑‍🔬**Felipe Bravo-Marquez**1 work here · 368 citations](https://md.research.elamur.ai/free/en/authors/felipe-bravo-marquez/) · [🧑‍🔬**Saif Mohammad**1 work here · 368 citations](https://md.research.elamur.ai/free/en/authors/saif-mohammad/) · [🧑‍🔬**Aniruddha Ghosh**1 work here · 350 citations](https://md.research.elamur.ai/free/en/authors/aniruddha-ghosh/) · [🧑‍🔬**Tony Veale**1 work here · 350 citations](https://md.research.elamur.ai/free/en/authors/tony-veale/) · [🧑‍🔬**Antal van den Bosch**1 work here · 274 citations](https://md.research.elamur.ai/free/en/authors/antal-van-den-bosch/) · [🧑‍🔬**Francesco Barbieri**1 work here · 217 citations](https://md.research.elamur.ai/free/en/authors/francesco-barbieri/) · [🧑‍🔬**Horacio Saggion**1 work here · 217 citations](https://md.research.elamur.ai/free/en/authors/horacio-saggion/) · [🧑‍🔬**Yutaka Matsuo**1 work here · 141 citations](https://md.research.elamur.ai/free/en/authors/yutaka-matsuo/) · [🧑‍🔬**Philipp Cimiano**1 work here · 140 citations](https://md.research.elamur.ai/free/en/authors/philipp-cimiano/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🎓**University of Stuttgart** Stuttgart · Germany 2 works here](https://md.research.elamur.ai/free/en/universities/university-of-stuttgart/) · [🎓**Indian Institute of Technology Bombay** Mumbai · India 2 works here](https://md.research.elamur.ai/free/en/universities/indian-institute-of-technology-bombay/) · [🎓**IITB-Monash Research Academy** Mumbai · India 2 works here](https://md.research.elamur.ai/free/en/universities/iitb-monash-research-academy/) · [🎓**Monash University** Melbourne · Australia 2 works here](https://md.research.elamur.ai/free/en/universities/monash-university/) · [🎓**University College Dublin** Dublin · Ireland 1 work here](https://md.research.elamur.ai/free/en/universities/university-college-dublin/) · [🎓**University of Southern California** Los Angeles · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-southern-california/) · [🎓**Radboud University Nijmegen** Nijmegen · Netherlands 1 work here](https://md.research.elamur.ai/free/en/universities/radboud-university-nijmegen/) · [🎓**Indian Institute of Technology Kharagpur** Kharagpur · India 1 work here](https://md.research.elamur.ai/free/en/universities/indian-institute-of-technology-kharagpur/) · [🎓**Universitat Pompeu Fabra** Barcelona · Spain 1 work here](https://md.research.elamur.ai/free/en/universities/universitat-pompeu-fabra/) · [🎓**Universität Innsbruck** Innsbruck · Austria 1 work here](https://md.research.elamur.ai/free/en/universities/universitat-innsbruck/) · [🏛️**National Academies of Sciences, Engineering, and Medicine** Washington · United States 1 work here](https://md.research.elamur.ai/free/en/government/national-academies-of-sciences-engineering-and-medicine/) · [🎓**Bielefeld University** Bielefeld · Germany 1 work here](https://md.research.elamur.ai/free/en/universities/bielefeld-university/)

## Works in our library (13)

The most cited first (OpenAlex citations plus our library's).

1. [**WASSA-2017 Shared Task on Emotion Intensity**Saif Mohammad, Felipe Bravo-Marquez*2017 · 368 citations*](https://md.research.elamur.ai/free/en/papers/mohammad-2017-wassa-2017-shared-task-emotion/)
2. [**Fracking Sarcasm using Neural Network**Aniruddha Ghosh, Tony Veale*2016 · 350 citations*](https://md.research.elamur.ai/free/en/papers/ghosh-2016-fracking-sarcasm-neural-network/)
3. [**The perfect solution for detecting sarcasm in tweets #not**Christine Liebrecht, Florian Kunneman, Antal van den Bosch*2013 · 274 citations*](https://md.research.elamur.ai/free/en/papers/liebrecht-2013-perfect-solution-detecting-sarcasm-tweets/)
4. [**Modelling Sarcasm in Twitter, a Novel Approach**Francesco Barbieri, Horacio Saggion, Francesco Ronzano*2014 · 217 citations*](https://md.research.elamur.ai/free/en/papers/barbieri-2014-modelling-sarcasm-twitter-novel-approach/)
5. [**Deep contextualized word representations for detecting sarcasm and irony**Suzana Ilić, Edison Marrese-Taylor, Jorge Balazs, et al.*2018 · 141 citations*](https://md.research.elamur.ai/free/en/papers/ilic-2018-deep-contextualized-word-representations-detecting/)
6. [**An Impact Analysis of Features in a Classification Approach to Irony Detection in Product Reviews**Konstantin Buschmeier, Philipp Cimiano, Roman Klinger*2014 · 140 citations*](https://md.research.elamur.ai/free/en/papers/buschmeier-2014-impact-analysis-features-classification-approach/)
7. [**Annotation, Modelling and Analysis of Fine-Grained Emotions on a Stance and Sentiment Detection Corpus**Hendrik Schuff, Jeremy Barnes, Julian Mohme, et al.*2017 · 129 citations*](https://md.research.elamur.ai/free/en/papers/schuff-2017-annotation-modelling-analysis-fine-grained/)
8. [**Your Sentiment Precedes You: Using an author's historical tweets to predict sarcasm**Anupam Khattri, Aditya Joshi, Pushpak Bhattacharyya, et al.*2015 · 114 citations*](https://md.research.elamur.ai/free/en/papers/khattri-2015-your-sentiment-precedes-you-author/)
9. [**Hate Towards the Political Opponent: A Twitter Corpus Study of the 2020 US Elections on the Basis of Offensive Speech and Stance Detection**Lara Grimminger, Roman Klinger*2021 · 73 citations*](https://md.research.elamur.ai/free/en/papers/grimminger-2021-hate-political-opponent-twitter-corpus/)
10. [**Infusing Knowledge from Wikipedia to Enhance Stance Detection**Zihao He, Negar Mokhberian, Kristina Lerman*2022 · 72 citations*](https://md.research.elamur.ai/free/en/papers/he-2022-infusing-knowledge-wikipedia-enhance-stance/)
11. [**“When Numbers Matter!”: Detecting Sarcasm in Numerical Portions of Text**Abhijeet Dubey, Lakshya Kumar, Arpan Somani, et al.*2019 · 29 citations*](https://md.research.elamur.ai/free/en/papers/dubey-2019-when-numbers-matter-detecting-sarcasm/)
12. [**Synthetic Examples Improve Cross-Target Generalization: A Study on Stance Detection on a Twitter corpus.**Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, et al.*2021 · 12 citations*](https://md.research.elamur.ai/free/en/papers/conforti-2021-synthetic-examples-improve-cross-target/)
13. [**Detecting Sarcasm Using Different Forms Of Incongruity**Aditya Joshi*2017 · 2 citations*](https://md.research.elamur.ai/free/en/papers/joshi-2017-detecting-sarcasm-different-forms-incongruity/)

Venues, publishers and identifiers from OpenAlex (2026-10-14) and the ACL Anthology; yearly proceedings are counted as one series.