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Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2014 — accepted papers

Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2014 is the 2014 edition of the Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, held in Baltimore, Maryland, June 2014 (publisher: Association for Computational Linguistics). OpenAlex lists 25 papers of it; our library holds 3 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

All accepted papers (25)

The most cited first; 3 with our summary link to their page here, the others to the original.

  1. A Conceptual Framework for Inferring ImplicaturesJanyce Wiebe, Lingjia Dengour summary
  2. A cognitive study of subjectivity extraction in sentiment annotationAbhijit Mishra, Aditya Joshi, Pushpak Bhattacharyya
  3. Aspect-Level Sentiment Analysis in CzechJosef Steinberger, Tomáš Brychcín, Michal Konkol
  4. Dive deeper: Deep Semantics for Sentiment AnalysisNikhilkumar Jadhav, Pushpak Bhattacharyya
  5. Emotive or Non-emotive: That is The QuestionMichal Ptaszynski, Fumito Masui, Rafal Rzepka et al.
  6. Modelling Sarcasm in Twitter, a Novel ApproachFrancesco Barbieri, Horacio Saggion, Francesco Ronzanoour summary
  7. Opinion Mining and Topic Categorization with Novel Term WeightingTatiana Gasanova, Roman Sergienko, Shakhnaz Akhmedova et al.
  8. Semantic Role Labeling of Emotions in TweetsSaif Mohammad, Xiaodan Zhu, Joel Martin

 Papers with our summary in our library (3)

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

 Top topics

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

Sentiment & emotion (3)Implicature (1)

 Fields

Arts and Humanities (3)Computer Science (3)

 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.

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

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