---
title: "Workshop on Computational Approaches to Subjectivity"
description: "Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2016 — accepted papers: 1 paper in the…"
canonical: "https://research.elamur.ai/free/en/venues/wassa/2016/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/wassa/2016/)

[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/) / 2016

# Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2016 — accepted papers

Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2016 is the 2016 edition of the Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, held in San Diego, California, June 2016 (publisher: Association for Computational Linguistics). OpenAlex lists 30 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

📍 San Diego, California · 🗓 June 2016

[**30** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/wassa/2016/#works) · [**350** citations of these works](https://md.research.elamur.ai/free/en/venues/wassa/2016/#works)

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. **[Fracking Sarcasm using Neural Network](https://md.research.elamur.ai/free/en/papers/ghosh-2016-fracking-sarcasm-neural-network/)**Aniruddha Ghosh, Tony Veale*290 citations · our summary*
2. **[Modelling Valence and Arousal in Facebook posts ↗](https://aclanthology.org/W16-0404/)**Daniel Preoţiuc-Pietro, H. Andrew Schwartz, Gregory Park et al.*165 citations*
3. **[A Practical Guide to Sentiment Annotation: Challenges and Solutions ↗](https://aclanthology.org/W16-0429/)**Saif Mohammad*101 citations*
4. **[Rumor Identification and Belief Investigation on Twitter ↗](https://aclanthology.org/W16-0403/)**Sardar Hamidian, Mona Diab*74 citations*
5. **[The Effect of Negators, Modals, and Degree Adverbs on Sentiment Composition ↗](https://aclanthology.org/W16-0410/)**Svetlana Kiritchenko, Saif Mohammad*69 citations*
6. **[Threat detection in online discussions ↗](https://aclanthology.org/W16-0413/)**Aksel Wester, Lilja Øvrelid, Erik Velldal et al.*30 citations*
7. **[Implicit Aspect Detection in Restaurant Reviews using Cooccurence of Words ↗](https://aclanthology.org/W16-0421/)**Rrubaa Panchendrarajan, Nazick Ahamed, Brunthavan Murugaiah et al.*22 citations*
8. **[Political Issue Extraction Model: A Novel Hierarchical Topic Model That Uses Tweets By Political And Non-Political Authors ↗](https://aclanthology.org/W16-0415/)**Aditya Joshi, Pushpak Bhattacharyya, Mark Carman*22 citations*
9. **[Improve Sentiment Analysis of Citations with Author Modelling ↗](https://aclanthology.org/W16-0420/)**Zheng Ma, Jinseok Nam, Karsten Weihe*14 citations*
10. **[Linguistic Understanding of Complaints and Praises in User Reviews ↗](https://aclanthology.org/W16-0418/)**Guangyu Zhou, Kavita Ganesan*14 citations*

## All accepted papers (30)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. **[Fracking Sarcasm using Neural Network](https://md.research.elamur.ai/free/en/papers/ghosh-2016-fracking-sarcasm-neural-network/)**Aniruddha Ghosh, Tony Veale*290 citations · our summary*
2. **[Modelling Valence and Arousal in Facebook posts ↗](https://aclanthology.org/W16-0404/)**Daniel Preoţiuc-Pietro, H. Andrew Schwartz, Gregory Park et al.*165 citations*
3. **[A Practical Guide to Sentiment Annotation: Challenges and Solutions ↗](https://aclanthology.org/W16-0429/)**Saif Mohammad*101 citations*
4. **[Rumor Identification and Belief Investigation on Twitter ↗](https://aclanthology.org/W16-0403/)**Sardar Hamidian, Mona Diab*74 citations*
5. **[The Effect of Negators, Modals, and Degree Adverbs on Sentiment Composition ↗](https://aclanthology.org/W16-0410/)**Svetlana Kiritchenko, Saif Mohammad*69 citations*
6. **[Threat detection in online discussions ↗](https://aclanthology.org/W16-0413/)**Aksel Wester, Lilja Øvrelid, Erik Velldal et al.*30 citations*
7. **[Implicit Aspect Detection in Restaurant Reviews using Cooccurence of Words ↗](https://aclanthology.org/W16-0421/)**Rrubaa Panchendrarajan, Nazick Ahamed, Brunthavan Murugaiah et al.*22 citations*
8. **[Political Issue Extraction Model: A Novel Hierarchical Topic Model That Uses Tweets By Political And Non-Political Authors ↗](https://aclanthology.org/W16-0415/)**Aditya Joshi, Pushpak Bhattacharyya, Mark Carman*22 citations*
9. **[Improve Sentiment Analysis of Citations with Author Modelling ↗](https://aclanthology.org/W16-0420/)**Zheng Ma, Jinseok Nam, Karsten Weihe*14 citations*
10. **[Linguistic Understanding of Complaints and Praises in User Reviews ↗](https://aclanthology.org/W16-0418/)**Guangyu Zhou, Kavita Ganesan*14 citations*
11. **[Emotions and NLP: Future Directions ↗](https://aclanthology.org/W16-0430/)**Carlo Strapparava*12 citations*
12. **[Early text classification: a Naïve solution ↗](https://aclanthology.org/W16-0416/)**Hugo Jair Escalante, Manuel Montes y Gomez, Luis Villasenor et al.*10 citations*
13. **[Do Enterprises Have Emotions? ↗](https://aclanthology.org/W16-0423/)**Sven Buechel, Udo Hahn, Jan Goldenstein et al.*9 citations*
14. **[Deep Learning for Sentiment Analysis - Invited Talk ↗](https://aclanthology.org/W16-0408/)**Richard Socher*8 citations*
15. **[Reputation System: Evaluating Reputation among All Good Sellers ↗](https://aclanthology.org/W16-0419/)**Vandana Jha, Savitha R, P Deepa Shenoy et al.*7 citations*
16. **[Domain Adaptation of Polarity Lexicon combining Term Frequency and Bootstrapping ↗](https://aclanthology.org/W16-0422/)**Salud María Jiménez-Zafra, Maite Martin, M. Dolores Molina-Gonzalez et al.*6 citations*
17. **[Semi-supervised and unsupervised categorization of posts in Web discussion forums using part-of-speech information and minimal features ↗](https://aclanthology.org/W16-0417/)**Krish Perumal, Graeme Hirst*5 citations*
18. **[Sentiment Lexicon Creation using Continuous Latent Space and Neural Networks ↗](https://aclanthology.org/W16-0409/)**Pedro Dias Cardoso, Anindya Roy*5 citations*
19. **[Fashioning Data - A Social Media Perspective on Fast Fashion Brands ↗](https://aclanthology.org/W16-0407/)**Rupak Chakraborty, Senjuti Kundu, Prakul Agarwal*4 citations*
20. **[Sentiment Analysis in Twitter: A SemEval Perspective ↗](https://aclanthology.org/W16-0427/)**Preslav Nakov*4 citations*
21. **[Hit Songs' Sentiments Harness Public Mood & Predict Stock Market ↗](https://aclanthology.org/W16-0406/)**Rachel Harsley, Bhavesh Gupta, Barbara Di Eugenio et al.*2 citations*
22. **[Sentiment Analysis - What are we talking about? ↗](https://aclanthology.org/W16-0401/)**Alexandra Balahur*2 citations*
23. **[A semantic-affective compositional approach for the affective labelling of adjective-noun and noun-noun pairs ↗](https://aclanthology.org/W16-0424/)**Elisavet Palogiannidi, Elias Iosif, Polychronis Koutsakis et al.*1 citation*
24. **[An Hymn of an even Deeper Sentiment Analysis ↗](https://aclanthology.org/W16-0426/)**Manfred Klenner*1 citation*
25. **[An Unsupervised System for Visual Exploration of Twitter Conversations ↗](https://aclanthology.org/W16-0412/)**Derrick Higgins, Michael Heilman, Adrianna Jelesnianska et al.*1 citation*

[See all 30 papers in Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2016 — accepted papers →](https://md.research.elamur.ai/free/en/venues/wassa/2016/papers/)

## Papers with our summary in our library (1)

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

1. **[Fracking Sarcasm using Neural Network](https://md.research.elamur.ai/free/en/papers/ghosh-2016-fracking-sarcasm-neural-network/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Aniruddha Ghosh, Tony Veale*2016 · 350 citations*

## Top topics

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

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

## Fields

[Arts and Humanities (1)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**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/)

## Top institutions

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

[🎓**University College Dublin** Dublin · Ireland 1 work here](https://md.research.elamur.ai/free/en/universities/university-college-dublin/)

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 2015](https://md.research.elamur.ai/free/en/venues/wassa/2015/)
- [next → Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2017](https://md.research.elamur.ai/free/en/venues/wassa/2017/)
- [↑ back to Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)