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--- 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.' altloc: [] chapter: ~ commentary: ~ commref: ~ confdates: 'July 16, 2006' conference: Workshop on Computational Aesthetics at the Twenty-First National Conference on Artificial Intelligence confloc: 'Boston, MA' contact_email: ~ creators_id: [] creators_name: - family: Nadeau given: David honourific: '' lineage: '' - family: Sabourin given: Catherine honourific: '' lineage: '' - family: De Koninck given: Joseph honourific: '' lineage: '' - family: Matwin given: Stan honourific: '' lineage: '' - family: Turney given: Peter D. honourific: '' lineage: '' date: 2006 date_type: published datestamp: 2006-08-01 department: ~ dir: disk0/00/00/50/30 edit_lock_since: ~ edit_lock_until: ~ edit_lock_user: ~ editors_id: [] editors_name: [] eprint_status: archive eprintid: 5030 fileinfo: /style/images/fileicons/application_pdf.png;/5030/1/NRC%2D48725.pdf full_text_status: public importid: ~ institution: ~ isbn: ~ ispublished: pub issn: ~ item_issues_comment: [] item_issues_count: 0 item_issues_description: [] item_issues_id: [] item_issues_reported_by: [] item_issues_resolved_by: [] item_issues_status: [] item_issues_timestamp: [] item_issues_type: [] keywords: 'dream analysis, sentiment analysis' lastmod: 2011-03-11 08:56:33 latitude: ~ longitude: ~ metadata_visibility: show note: ~ number: ~ pagerange: 70-73 pubdom: FALSE publication: ~ publisher: ~ refereed: TRUE referencetext: | 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., P�ters, 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. relation_type: [] relation_uri: [] reportno: ~ rev_number: 12 series: ~ source: ~ status_changed: 2007-09-12 17:06:22 subjects: - comp-sci-lang - comp-sci-art-intel succeeds: ~ suggestions: ~ sword_depositor: ~ sword_slug: ~ thesistype: ~ title: Automatic Dream Sentiment Analysis type: confposter userid: 5664 volume: ~