Automatic detection of double meaning in texts from the social networks

CEUR Workshop Proceedings

Volumn 1427, Issue , 2015, Pages 33-39

  Tsonkov, Todor V ^a   Koychev, Ivan ^a  

^a UNIVERSITY OF SOFIA   (Bulgaria)

Author keywords

[No Author keywords available]

Indexed keywords

NEAREST NEIGHBOR SEARCH; SOCIAL NETWORKING (ONLINE);

AUTOMATIC DETECTION; FACEBOOK; GOOGLE+; HASHTAGS; K-NEAREST NEIGHBOURS; NAIVE BAYES; PREDICTIVE ACCURACY;

INFORMATION SCIENCE;

EID: 84948699362     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. Tsonkov, F., and Koychev I.-Detecting Irony in texts from the social networks: the Bulgarian language case (2013)
2. Pak and Paroubek-"Twitter as a Corpus for Sentiment Analysis and Opinion Mining", 2010
3. Godbole et al-"Large-Scale Sentiment Analysis for News and Blogs" 2007
4. Hassan et al-"Semantic Sentiment Analysis of Twitter" 2012
5. Potts, C. 2011. Developing adjective scales from usersupplied textual metadata. NSF Workshop on Restructuring Adjectives in WordNet. Arlington,VA
6. Francesco Barbieri and Horacio Saggion, 2014 1-Automatic Detection of Irony and Humour in Twitter
7. Veale, T., and Hao, Y. 2010b. An ironic fist in a velvet glove: Creative mis-representation in the construction of ironic similes. Minds and Machines 20(4):635-650
8. Albert Bifet and Eibe Frank 2005-Sentiment Knowledge Discovery in Twitter Streaming Data
9. Davidov, D.; Tsur, O.; and Rappoport, A. 2010. Semisupervised recognition of sarcastic sentences in twitter and amazon. In Proceedings of the Fourteenth Conference on Computational Natural Language Learning, 107-116. Association for Computational Linguistics.
10. Dipankar D. and Sivaji B. 2012, Identifying Emotional Expressions, Intensities and Sentence level Emotion Tags using a Supervised Framework
11. Common Opposites-Antonyms Vocabulary Word List http://www.enchantedlearning.com/wordlist/op posites.shtml
12. Top 2000 Vocabulary Words http://www.talkenglish.com/Vocabulary/Top-2000-Vocabulary.aspx
13. https://blog.kissmetrics.com/facebookstatistics
14. Vanin, A.; de Freitas L.; Viera R.; Bochernistan M. 2014 Some clues on Irony Detection of Tweets
15. Rachel Giora. 1995. On irony and negation. Discourse processes, 19(2):239-264.
16. Quintilien and Harold Edgeworth Butler. 1953. The Institutio Oratoria of Quintilian. With an English Translation by HE Butler. W. Heinemann.
17. Roberto Gonzalez-Ibanez, Smaranda Muresan, and ' Nina Wacholder. 2011. Identifying sarcasm in twitter: A closer look. In ACL (Short Papers), pages 581-586. Citeseer.
18. Christine Liebrecht, Florian Kunneman, and Antal van den Bosch. 2013. The perfect solution for detecting sarcasm in tweets# not. WASSA 2013, page 29.