Cogprints
Login | Create Account

Automatic Dream Sentiment Analysis

Nadeau, David and Sabourin, Catherine and De Koninck, Joseph and Matwin, Stan and Turney, Peter D. (2006) Automatic Dream Sentiment Analysis. [Conference Poster]

Full text available as:

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
38Kb

Abstract

In this position paper, we propose a first step toward automatic analysis of sentiments in dreams. 100 dreams were sampled from a dream bank created for a normative study of dreams. Two human judges assigned a score to describe dream sentiments. We ran four baseline algorithms in an attempt to automate the rating of sentiments in dreams. Particularly, we compared the General Inquirer (GI) tool, the Linguistic Inquiry and Word Count (LIWC), a weighted version of the GI lexicon and of the HM lexicon and a standard bag-of-words. We show that machine learning allows automating the human judgment with accuracy superior to majority class choice.

Item Type:Conference Poster
Keywords:dream analysis, sentiment analysis
Subjects:Computer Science > Language
Computer Science > Artificial Intelligence
ID Code:5030
Deposited By:Nadeau, David
Deposited On:01 Aug 2006
Last Modified:12 Sep 2007 18:06

References in Article

Select the SEEK icon to attempt to find the referenced article. If it does not appear to be in cogprints you will be forwarded to the paracite service. Poorly formated references will probably not work.

Delorme, M.-A., Lortie-Lussier, M., and De Koninck, J. (2002). Stress and Coping in the Waking and Dreaming States during an Examination Period. Dreaming, 12(4), pp. 171-183.

Domhoff, G. W. (2003). The Scientific Study of Dreams: Neural Networks, Cognitive Development, and Content Analysis. American Psychological Association, New York.

Hall, C. S. and Van de Castle, R. L. (1966). The Content Analysis of Dreams. Meredith Publishing Company, New York.

Hartmann, E. (1998). Dreams and Nightmares: The New Theory on the Origin and Meaning of Dreams. Plenum, New York,

Hatzivassiloglou, V. and McKeown, K. R. (1997) Predicting the Semantic Orientation of Adjectives. Proc. Conference of the European Chapter of the ACL.

Hobson, J. A., Stickgold, R. and Pace-Schott, E. F. (1998). The Neuropsychology of REM Sleep Dreaming. NeuroReport, Vol. 9, pp. R1-R14.

Maquet, P., Péters, J. M., Aerts, J., Delfiore, G., Degueldre, C, Luxen, A. and Franck, G. (1996). Functional Neuroanatomy of Human Rapid-Eye-Movement Sleep and Dreaming, Nature, Vol. 383, pp.163-166

Nielsen, T. A. and Strenstrom, P. (2005). What are the Memory Sources of Dreaming? Nature, Vol. 437, pp.1286-1289.

Pennebaker, J. W., Francis, M. E. and Booth, R.J. (2001) Linguistic Inquiry and Word Count LIWC2001. Erlbaum Publishers, Mahwah, NJ.

Stone, P. J., Dunphy, D. C., Smith, M. S., Ogilvie, D. M. (1966) The General Inquirer: A Computer Approach to Content Analysis, The MIT Press.

St-Onge, M., Lortie-Lussier, M., Mercier, P., Grenier, J. and De Koninck, J. (2005). Emotions in the Diary and REM Dreams of Young and Late Adulthood Women and Their Relation to Life Satisfaction. Dreaming, Vol. 15, pp.116-128.

Turney, P. (2002) Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews. Proc. 40th Annual Meeting of the Association for Computational Linguistics.

Turney, P. and Littman, M. (2003) Measuring Praise and Criticism: Inference of Semantic Orientation from Association. ACM Transactions on Information Systems (TOIS). 21(4). pp. 315-346.

Wilson, T., Wiebe, J. and Hoffman, P. (2005). Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis. Proceedings of HLT/EMNLP.

Witten, I. H. and Frank, E. (2005) Data Mining: Practical machine learning tools and techniques, 2nd Edition, Morgan Kaufmann, San Francisco.

Metadata

Repository Staff Only: item control page

Cogprints is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.