2024-03-28T21:53:21Zhttps://eprints.lib.hokudai.ac.jp/dspace-oai/requestoai:eprints.lib.hokudai.ac.jp:2115/471382022-11-17T02:08:08Zhdl_2115_20053hdl_2115_145Contextual affect analysis : a system for verification of emotion appropriateness supported with Contextual Valence ShiftersPtaszynski, MichalDybala, PawelShi, WenhanRzepka, Rafal1000050202742Araki, Kenjiopen accessaffect analysiscontextual appropriatenessweb-miningCVScontextual valence shifters548This paper presents a novel method for estimating speaker's affective states based on two contextual features: valence shifters and appropriateness. Firstly, a system for affect analysis is used to recognise specific types of emotions. We improve the baseline system with the analysis of Contextual Valence Shifters (CVS), which determine the semantic orientation of emotive expressions. Secondly, a web mining technique is used to verify the appropriateness of the recognised emotions for the particular context. Verification of contextual appropriateness of emotions is the next step towards implementation of Emotional Intelligence Framework in machines. The proposed method is evaluated using two conversational agents.Inderscience Publishers2010engjournal articleVoRhttp://hdl.handle.net/2115/47138https://doi.org/10.1504/IJBM.2010.0317931755-83011755-831XInternational Journal of Biometrics22134154https://eprints.lib.hokudai.ac.jp/dspace/bitstream/2115/47138/3/IJB2-2_134-154.pdfapplication/pdf449.5 KB2010