Abstract
This paper describes a method for building a sentiment lexicon. Its originality is to combine crowdsourcing via a Game With A Purpose (GWAP) with automated propagation of sentiments through a spreading algorithm, both using the lexical JeuxDeMots network as data source and substratum. We present the game designed to collect sentiment data, and the principles and assumptions underlying the action of the algorithm that propagates them within the network. Finally, we give a qualitative evaluation of the data obtained for both the game and the spreading done by the algorithm.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Brun, C.: Detecting opinions using deep syntactic analysis. In: Proceedings of Recent Advances in Natural Language Processing, (RANLP 2011), Hissar, Bulgaria, pp. 392–398 (2011)
Taboada, M., Brooke, J., Tofiloski, M., Voll, K., Stede, M.: Lexicon-based methods for sentiment analysis. Comput. Linguist. 37(2), 267–307 (2011)
Whissell, C.: The Dictionary of Affect in Language. Academic Press, Cambridge (1989)
Saif, M., Turney, P.: Crowdsourcing a word-emotion association Lexicon. Comput. Intell. 29(3), 436–465 (2013)
Fort, K., Adda, G., Sagot, B., Mariani, J., Couillault, A.: Crowdsourcing for language resource development: criticisms about amazon mechanical turk overpowering use. In: Vetulani, Z., Mariani, J. (eds.) LTC 2011. LNCS, vol. 8387, pp. 303–314. Springer, Heidelberg (2014). ISBN 978-3-319-08957-7
Abdaoui, A., Azé, J., Bringay, S., Poncelet P.: FEEL: French Extended Emotional Lexicon (2014). ISLRN: 041-639-484-224-2
Esuli, A., Sebastiani, F.: SentiWordNet: a publicly available lexical resource for opinion mining. In: Proceedings of LREC-06, Gênes, Italie, p. 6 (2006)
Kim, S.-M. Hovy, E.: Determining the sentiment of opinions. In: Proceedings of the International Conference on Computational Linguistics (COLING), pp. 1367–1373 (2004)
Kim, S.-M., Hovy, E.: Extracting opinions, opinion holders, and topics expressed in online news media text. In: Proceedings of the Workshop on Sentiment and Subjectivity in Text, SST 2006, Stroudsburg, PA, USA, pp. 1–8. Association for Computational Linguistics.(2006)
Mudinas, A., Zhang, D., Levenem, M.: Combining lexicon and learning based approaches for concept-level sentiment analysis. In: Proceedings of the First International Workshop on Issues of Sentiment Discovery and Opinion Mining, WISDOM 2012, pp. 5:1–5:8. ACM, New York (2012)
Strapparava, C., Mihalcea, R.: Learning to identify emotions in text. In: Proceedings of the 2008 ACM Symposium on Applied Computing, SAC 2008, pp. 1556–1560. ACM, New York (2008)
Kiritchenko, S., Xiaodan, Z., Saif, M.: Sentiment analysis of short informal texts. J. Artif. Intell. Res. 50, 723–762 (2014)
Lafourcade, M.: Making people play for lexical acquisition. In: Proceedings of SNLP 2007, 7th Symposium on Natural Language Processing, Pattaya, Thailande, p. 8, 13–15 December 2007
Lafourcade, M., Le Brun, N., Joubert, A.: Games with a Purpose (GWAPS), p. 158. Wiley-ISTE, New York (2015). ISBN 978-1-84821-803-1
Simperl, E., Acosta, M., Flöck, F.: Knowledge engineering via human computation. In: Michelucci, P. (ed.) Handbook of Human Computation, pp. 131–151. Springer, New York (2013)
Miller, G.A.: WordNet: a lexical database for English. Commun. ACM 38(11), 39–41 (1995)
Fellbaum, C. (ed.): WordNet: An Electronic Lexical Database. MIT Press, Cambridge (1998)
Navigli, R., Ponzetto, S.P.: BabelNet: building a very large multilingual semantic network. In: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pp. 216–225 (2010)
Dong, Z.D., Dong, Q., Hao, C.L.: Theoretical findings of HowNet. J. Chin. Inf. Proc. 21(4), 3–9 (2007)
Lafourcade, M., Le Brun, N., Joubert, A.: Collecting and evaluating lexical polarity with a game with a purpose. In: Proceedings of International Conference on Recent Advances in Natural Language Processing (RANLP 2015), Hissar, Bulgaria, p. 9, 5–11 September 2015
Saif, M., Turney, P.D.: Emotions evoked by common words and phrases: using mechanical turk to create an emotion Lexicon. In: Proceedings of the NAACL-HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text, LA, California, pp. 26–34, June 2010
Ekman, P.: An argument for basic emotions. Cogn. Emot. 6, 169–200 (1992)
Tausczik, Y.R., Pennebake, R.J.W.: The psychological meaning of words : LIWC and computerized text analysis methods. J. Lang. Soc. Psychol. 29, 24–54 (2010)
Bos, J., Nissim, M.: Uncovering noun-noun compound relations by gamification. In: Megyesi, B., (Ed.) Proceedings of the 20th Nordic Conference of Computational Linguistics (NODALIDA 2015), pp. 251–255 (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Lafourcade, M., Le Brun, N., Joubert, A. (2016). Mixing Crowdsourcing and Graph Propagation to Build a Sentiment Lexicon: Feelings Are Contagious. In: Métais, E., Meziane, F., Saraee, M., Sugumaran, V., Vadera, S. (eds) Natural Language Processing and Information Systems. NLDB 2016. Lecture Notes in Computer Science(), vol 9612. Springer, Cham. https://doi.org/10.1007/978-3-319-41754-7_23
Download citation
DOI: https://doi.org/10.1007/978-3-319-41754-7_23
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-41753-0
Online ISBN: 978-3-319-41754-7
eBook Packages: Computer ScienceComputer Science (R0)