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  • |Title=8th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis ...uding, but not restricted to the following topics related to subjectivity, sentiment and social media analysis:
    3 KB (357 words) - 14:06, 17 February 2021
  • |Title=Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis
    302 bytes (35 words) - 11:22, 17 February 2021
  • |Title=9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis WASSA 2018 : '''9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis'''
    1 KB (126 words) - 14:06, 17 February 2021
  • |Title=10th Workshop on Computational Approaches to Subjectivity and Sentiment Analysis '''10th Workshop on Computational Approaches to Subjectivity and Sentiment Analysis (WASSA)'''
    3 KB (302 words) - 14:06, 17 February 2021
  • |Field=computational linguistics, emotions, sentiment, opinion, personality, social media
    454 bytes (47 words) - 13:22, 17 February 2021
  • * sentiment analysis * sentiment analysis
    3 KB (317 words) - 14:05, 17 February 2021
  • ...do semantic clustering, metaphor interpretation, concreteness scoring and sentiment analysis.
    609 bytes (85 words) - 14:11, 17 February 2021
  • ...Twitter communities; Microblogs; Influence for celebrities on microblogs; Sentiment analysis in the blogosphere; Data-mining twitter; Detection of persistent t ...easoning about emotions; Emotional behavior in human-computer interaction; Sentiment and emotion summarization and visualization; Emotional behavior modeling an
    9 KB (1,068 words) - 14:07, 17 February 2021
  • ...search, forums and community sites, large graph analysis, rumor detection, sentiment classification, etc. * Social Networks, Blog Search, Communities, Sentiment Classification, Rumor Detection, Adversial IR.
    3 KB (401 words) - 12:20, 17 February 2021
  • * Opinion mining, sentiment analysis, social networks
    1 KB (139 words) - 14:05, 17 February 2021
  • Detecting sentiment, humor, and truth • Task 4: Sentiment Analysis in Twitter
    4 KB (581 words) - 14:04, 17 February 2021
  • *Sentiment Analysis, Opinion Mining and Text Classification
    1 KB (170 words) - 13:52, 17 February 2021
  • ...coreference), and the nature of what we are saying (semantic relations and sentiment analysis).
    2 KB (199 words) - 11:21, 17 February 2021
  • Text Mining, Sentiment Analysis, and Opinion Mining
    2 KB (205 words) - 13:42, 17 February 2021
  • * Opinion mining and sentiment analysis
    2 KB (272 words) - 14:03, 17 February 2021
  • * Opinion mining and sentiment analysis
    2 KB (261 words) - 14:03, 17 February 2021
  • ● Opinion mining and sentiment analysis
    2 KB (268 words) - 14:03, 17 February 2021
  • * Opinion mining, sentiment analysis, social networks
    2 KB (269 words) - 14:05, 17 February 2021
  • *Sentiment Analysis 4.1 Sentiment Analysis for Indian Languages
    9 KB (1,315 words) - 13:42, 17 February 2021
  • ...nt of blogs/bloggers, cross media link detection and analysis, opinion and sentiment detection, measuring and predicting social media phenomenon such as "buzz s
    3 KB (370 words) - 14:14, 17 February 2021

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