Abstract
With the increased interests in annotation of multimedia contents in a bid to improve information retrieval performance, the importance of information on emotions in the contents is being highlighted. This research improves the previous emotion extraction method using WordNet. Since it required too much time for search emotional category and had wrong many results, we propose an advanced emotion extraction method added banned words. This improved method and the banned words will be described in this paper. Also, we will show the efficiency of our proposal through experiment.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Picard RW (1997) Affective computing. MIT Press, Cambridge
Chen L, Chen G-C, Xu C-Z, March J, Benford S (2007) EmoPlayer: a media player for video clips with affective annotations. Interact Comput 20(1):17–28
Salway A, Graham M (2003) Extracting information about emotions in films. In: Proceedings of ACM multimedia, Berkeley, ACM, pp 299–302
Miller GA (1995) WordNet: a lexical database for English. Commun ACM 38(11):39–41
Stanford POS tagger: http://nlp.stanford.edu/software/tagger.shtml
Danisman T, Alpkocak A (2008) Feeler: emotion classification of text using vector space model. In: AISB 2008 convention communication interaction and social intelligence, vol 2, pp 53–59
Park S-B, Yoo E, Kim H, Jo G-S (2010) Automatic emotion annotation of movie dialogue using WordNet. In: Proceedings of the 3rd international conference on intelligent information and database systems, vol part II, pp 130–139
Richarson R, Smeaton AF, Murphy J (1994) Using WordNet as a knowledge base for measuring semantic similarity between words. In: Working Paper CA-1294, School of computer applications, Dublin City University, Dublin, Ireland
Esuli A, Sebastiani F (2006) SentiWordNet: a publicly available lexical resource for opinion mining. In: Proceedings of the 5th conference on language resources and evaluation (LREC’06), pp 417–422
Ortony A, Clore GL, Coolins A (1988) The cognitive structure of emotions. CUP
Chan CH, Jones GJF (2005) Affect-based indexing and retrieval of fims. In: Proceedings of the 13th annual ACM international conference on multimedia, pp 427–430
Rada R, Mili H, Bicknell E, Blettner M (1989) Development an application of a metric on semantic nets. IEEE Trans Syst Man Cybern 19(1):17–30
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer Science+Business Media B.V.
About this paper
Cite this paper
You, E., Park, SB. (2012). Improved Performance of Emotion Extraction Through Banned Words. In: Kim, K., Ahn, S. (eds) Proceedings of the International Conference on IT Convergence and Security 2011. Lecture Notes in Electrical Engineering, vol 120. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-2911-7_47
Download citation
DOI: https://doi.org/10.1007/978-94-007-2911-7_47
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-2910-0
Online ISBN: 978-94-007-2911-7
eBook Packages: EngineeringEngineering (R0)