?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Automatic+Dream+Sentiment+Analysis&rft.creator=Nadeau%2C+David&rft.creator=Sabourin%2C+Catherine&rft.creator=De+Koninck%2C+Joseph&rft.creator=Matwin%2C+Stan&rft.creator=Turney%2C+Peter+D.&rft.subject=Language&rft.subject=Artificial+Intelligence&rft.description=In+this+position+paper%2C+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%2C+we+compared+the+General+Inquirer+(GI)+tool%2C+the+Linguistic+Inquiry+and+Word+Count+(LIWC)%2C+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.&rft.date=2006&rft.type=Conference+Poster&rft.type=PeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F5030%2F1%2FNRC-48725.pdf&rft.identifier=++Nadeau%2C+David+and+Sabourin%2C+Catherine+and+De+Koninck%2C+Joseph+and+Matwin%2C+Stan+and+Turney%2C+Peter+D.++(2006)+Automatic+Dream+Sentiment+Analysis.++%5BConference+Poster%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F5030%2F