📰 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.

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 NetworkAniruddha Ghosh, Tony Veale290 citations · our summary
2. Modelling Valence and Arousal in Facebook posts ↗Daniel Preoţiuc-Pietro, H. Andrew Schwartz, Gregory Park et al.165 citations
3. A Practical Guide to Sentiment Annotation: Challenges and Solutions ↗Saif Mohammad101 citations
4. Rumor Identification and Belief Investigation on Twitter ↗Sardar Hamidian, Mona Diab74 citations
5. The Effect of Negators, Modals, and Degree Adverbs on Sentiment Composition ↗Svetlana Kiritchenko, Saif Mohammad69 citations
6. Threat detection in online discussions ↗Aksel Wester, Lilja Øvrelid, Erik Velldal et al.30 citations
7. Implicit Aspect Detection in Restaurant Reviews using Cooccurence of Words ↗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 ↗Aditya Joshi, Pushpak Bhattacharyya, Mark Carman22 citations
9. Improve Sentiment Analysis of Citations with Author Modelling ↗Zheng Ma, Jinseok Nam, Karsten Weihe14 citations
10. Linguistic Understanding of Complaints and Praises in User Reviews ↗Guangyu Zhou, Kavita Ganesan14 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 NetworkAniruddha Ghosh, Tony Veale290 citations · our summary
2. Modelling Valence and Arousal in Facebook posts ↗Daniel Preoţiuc-Pietro, H. Andrew Schwartz, Gregory Park et al.165 citations
3. A Practical Guide to Sentiment Annotation: Challenges and Solutions ↗Saif Mohammad101 citations
4. Rumor Identification and Belief Investigation on Twitter ↗Sardar Hamidian, Mona Diab74 citations
5. The Effect of Negators, Modals, and Degree Adverbs on Sentiment Composition ↗Svetlana Kiritchenko, Saif Mohammad69 citations
6. Threat detection in online discussions ↗Aksel Wester, Lilja Øvrelid, Erik Velldal et al.30 citations
7. Implicit Aspect Detection in Restaurant Reviews using Cooccurence of Words ↗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 ↗Aditya Joshi, Pushpak Bhattacharyya, Mark Carman22 citations
9. Improve Sentiment Analysis of Citations with Author Modelling ↗Zheng Ma, Jinseok Nam, Karsten Weihe14 citations
10. Linguistic Understanding of Complaints and Praises in User Reviews ↗Guangyu Zhou, Kavita Ganesan14 citations
11. Emotions and NLP: Future Directions ↗Carlo Strapparava12 citations
12. Early text classification: a Naïve solution ↗Hugo Jair Escalante, Manuel Montes y Gomez, Luis Villasenor et al.10 citations
13. Do Enterprises Have Emotions? ↗Sven Buechel, Udo Hahn, Jan Goldenstein et al.9 citations
14. Deep Learning for Sentiment Analysis - Invited Talk ↗Richard Socher8 citations
15. Reputation System: Evaluating Reputation among All Good Sellers ↗Vandana Jha, Savitha R, P Deepa Shenoy et al.7 citations
16. Domain Adaptation of Polarity Lexicon combining Term Frequency and Bootstrapping ↗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 ↗Krish Perumal, Graeme Hirst5 citations
18. Sentiment Lexicon Creation using Continuous Latent Space and Neural Networks ↗Pedro Dias Cardoso, Anindya Roy5 citations
19. Fashioning Data - A Social Media Perspective on Fast Fashion Brands ↗Rupak Chakraborty, Senjuti Kundu, Prakul Agarwal4 citations
20. Sentiment Analysis in Twitter: A SemEval Perspective ↗Preslav Nakov4 citations
21. Hit Songs' Sentiments Harness Public Mood & Predict Stock Market ↗Rachel Harsley, Bhavesh Gupta, Barbara Di Eugenio et al.2 citations
22. Sentiment Analysis - What are we talking about? ↗Alexandra Balahur2 citations
23. A semantic-affective compositional approach for the affective labelling of adjective-noun and noun-noun pairs ↗Elisavet Palogiannidi, Elias Iosif, Polychronis Koutsakis et al.1 citation
24. An Hymn of an even Deeper Sentiment Analysis ↗Manfred Klenner1 citation
25. An Unsupervised System for Visual Exploration of Twitter Conversations ↗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 →

📄 Papers with our summary in our library (1)

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

1. Fracking Sarcasm using Neural NetworkWorkshop on Computational Approaches to Subjectivity, Sentiment and Social Media AnalysisAniruddha Ghosh, Tony Veale2016 · 350 citations

🧭 Top topics

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

😊Sentiment & emotion (1)

📚 Fields

🎭Arts and Humanities (1)🖥️Computer Science (1)

🧑‍🔬 Top authors

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

🏛️ Top institutions

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

🎓University College DublinDublin · Ireland1 work here

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

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