Difference between revisions of "Event:WASSA 2017"

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|Title=8th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis
 
|Title=8th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis
 
|Type=Conference
 
|Type=Conference
|Field=Natural language processing
+
|Official Website=https://wt-public.emm4u.eu/wassa2017/
|Homepage=https://wt-public.emm4u.eu/wassa2017/
 
 
|City=Copenhagen
 
|City=Copenhagen
|Country=Denmark
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|Country=Country:DK
 
|has general chair=Alexandra Balahur, Saif M. Mohammad, Erik van der Goot
 
|has general chair=Alexandra Balahur, Saif M. Mohammad, Erik van der Goot
|has Keynote speaker=Iryna Gurevych, Aditya Joshi, Viktor Pekar
 
|Submitted papers=41
 
|Accepted papers=15
 
|Accepted short papers=5
 
 
|has Proceedings Link=https://www.aclweb.org/anthology/events/wassa-2017/
 
|has Proceedings Link=https://www.aclweb.org/anthology/events/wassa-2017/
|has Proceedings DOI=10.18653/v1/W17-52
+
|has Proceedings DOI=https://doi.org/10.18653/v1/W17-52
 
|pageCreator=User:Curator 19
 
|pageCreator=User:Curator 19
 
|pageEditor=User:Curator 19
 
|pageEditor=User:Curator 19
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|Single Day Event=no
 
|Single Day Event=no
 
|Start Date=2017/09/08
 
|Start Date=2017/09/08
 +
|Academic Field=Natural Language Processing
 +
|Event Status=as scheduled
 +
|Event Mode=on site
 
}}
 
}}
 +
{{Event Deadline}}
 +
{{Event Metric
 +
|Number Of Submitted Papers=41
 +
|Number Of Accepted Papers=15
 +
|Number Of Accepted Short Papers=5
 +
}}
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{{S Event}}
 
'''WASSA 2017''' was organized in conjunction to the Conference on Empirical Methods in Natural
 
'''WASSA 2017''' was organized in conjunction to the Conference on Empirical Methods in Natural
 
Language Processing [[EMNLP 2017 ]] on September 8th, 2017, in Copenhagen, Denmark.
 
Language Processing [[EMNLP 2017 ]] on September 8th, 2017, in Copenhagen, Denmark.

Latest revision as of 15:56, 15 December 2022

Deadlines
Metrics
Submitted Papers
41
Accepted Papers
15
Accepted Short Papers
5
Venue

Copenhagen, Denmark

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WASSA 2017 was organized in conjunction to the Conference on Empirical Methods in Natural Language Processing EMNLP 2017 on September 8th, 2017, in Copenhagen, Denmark.

TOPICS

We encourage the submission of long and short research and demo papers including, but not restricted to the following topics related to subjectivity, sentiment and social media analysis:

  • Lexical semantic resources, corpora and annotations for subjectivity, sentiment and social media analysis; (semi-)automatic corpora generation and annotation
  • The use of semantic resources and methods (knowledge bases, semantic representations, inference mechanisms) for subjectivity, sentiment and emotion analysis;
  • Opinion retrieval, extraction, categorization, aggregation and summarization
  • Trend detection in social media using subjectivity and sentiment analysis techniques
  • Data linking through social networks based on affect-related NLP methods
  • Impact of affective data from social media
  • Mass opinion estimation based on NLP and statistical models
  • Online reputation management
  • Topic and sentiment studies and applications of topic-sentiment analysis
  • Domain, topic and genre dependency of sentiment analysis
  • Ambiguity issues and word sense disambiguation of subjective language
  • Pragmatic analysis of the opinion mining task
  • Use of Semantic Web technologies for subjectivity and sentiment analysis
  • Improvement of NLP tasks using subjectivity and/or sentiment analysis
  • Intrinsic and extrinsic evaluations subjectivity and sentiment analysis
  • Subjectivity, sentiment and emotion detection in social networks
  • Classification of stance in dialogues
  • Applications of sentiment and social media analysis systems

Apart from that, for the first time, we presented a shared task on automatically detecting intensity of emotion felt by the speaker of a tweet: WASSA-2017 Shared Task on Emotion Intensity. Twentytwo teams participated in the shared task, with results that showcase the latest developments in the theoretical and applied areas of Sentiment Analysis and Opinion Mining.

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