02244nam 2200421 450 991081873750332120200113230922.61-119-64938-21-119-64940-4(CKB)4100000008965340(MiAaPQ)EBC5849353(CaSebORM)9781786304193(EXLCZ)99410000000896534020190909d2019 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierOpinion analysis in interactions from data mining to human-agent interaction /Chloé Clavel ; series editor Patrick Paroubek1st editionLondon, England ;Hoboken, New Jersey :ISTE :Wiley,[2019]©20191 online resource (167 pages)1-78630-419-8 As time goes on, big companies such as Amazon, Microsoft, Google and Apple become increasingly interested in virtual assistants. The interest and development of social robots has put research into affective and social computing at the forefront of the scene. The aim of Opinion Analysis in Interactions is to present methods based on artificial intelligence through a combination of machine learning models and symbolic approaches. Also discussed are natural language processing and affective computing, via the analysis and generation of socio-emotional signals. The book explores the analysis of opinions in human–human interaction and tackles the less-explored (yet crucial) challenges related to the analysis methods of user opinions within the context of human–agent interaction. It also illustrates the implementation of strategies for selecting and generating agent utterances in response to user opinions, and opens up perspectives on the agent’s multimodal generation of utterances that hold attitudes.Data miningData mining.006.312Clavel Chloé1647504Paroubek PatrickMiAaPQMiAaPQMiAaPQBOOK9910818737503321Opinion analysis in interactions3995085UNINA