International Workshop on Natural Language Processing for Social Media 2017 — accepted papers
International Workshop on Natural Language Processing for Social Media 2017 is the 2017 edition of the International Workshop on Natural Language Processing for Social Media, held in Valencia, Spain, April 2017 (publisher: Association for Computational Linguistics). OpenAlex lists 6 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.
6papers in the proceedings 1work in our library 1,805citations of these works Valencia, Spainwhere it was held April 2017when
Most cited papers
- A Survey on Hate Speech Detection using Natural Language ProcessingAnna Schmidt, Michael Wiegand1,395 citations · our summary
- Facebook sentiment: Reactions and EmojisYe Tian, Thiago Galery, Giulio Dulcinati et al.120 citations
- A Twitter Corpus and Benchmark Resources for German Sentiment AnalysisMark Cieliebak, Jan Milan Deriu, Dominic Egger et al.69 citations
- Character-based Neural Embeddings for Tweet ClusteringSvitlana Vakulenko, Lyndon Nixon, Mihai Lupu14 citations
- Aligning Entity Names with Online Aliases on TwitterKevin McKelvey, Peter Goutzounis, Stephen da Cruz et al.6 citations
- Potential and Limitations of Cross-Domain Sentiment ClassificationJan Milan Deriu, Martin Weilenmann, Dirk Von Gruenigen et al.6 citations
All accepted papers (6)
- A Survey on Hate Speech Detection using Natural Language ProcessingAnna Schmidt, Michael Wiegand1,395 citations · our summary
- Facebook sentiment: Reactions and EmojisYe Tian, Thiago Galery, Giulio Dulcinati et al.120 citations
- A Twitter Corpus and Benchmark Resources for German Sentiment AnalysisMark Cieliebak, Jan Milan Deriu, Dominic Egger et al.69 citations
- Character-based Neural Embeddings for Tweet ClusteringSvitlana Vakulenko, Lyndon Nixon, Mihai Lupu14 citations
- Aligning Entity Names with Online Aliases on TwitterKevin McKelvey, Peter Goutzounis, Stephen da Cruz et al.6 citations
- Potential and Limitations of Cross-Domain Sentiment ClassificationJan Milan Deriu, Martin Weilenmann, Dirk Von Gruenigen et al.6 citations
Papers with our summary in our library (1)
Top topics
Sentiment & emotion (1)Bias, fairness & safety (1)
Fields
Computer Science (1)Social Sciences (1)
Top authors
Top institutions
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