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003 | CITU | ||
005 | 20230213092146.0 | ||
007 | cr an aaaaa | ||
008 | 211027b ||||| |||| 00| 0 eng d | ||
020 | _a9781786304193 | ||
020 | _a9781119649403 | ||
041 | _aeng | ||
082 | 0 | 0 |
_a410.188 _223 |
100 | 1 |
_aClavel, Chloé, _eauthor |
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245 |
_aOpinion analysis in interactions : _bfrom data mining to human-agent interaction / _cChloe Clavel. |
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264 | 1 |
_aHoboken, NJ : _bWiley-ISTE, _c2019. |
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300 | _a1 online resource, (162 pages) ; | ||
336 |
_2rdacontent _atext _btxt |
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337 |
_2rdamedia _acomputer _bc |
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_2rdacarrier _aonline resource _bcr |
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500 | _aABOUT THE AUTHOR Chloé Clavel is Associate Professor at Télécom-ParisTech. She researches affective computing, a cross-cutting domain in which she specializes in natural language processing and human–agent interaction. | ||
505 | 0 | _aTABLE OF CONTENTS 1. Oral and Written Interaction Corpora. 2. Analyzing User Opinions in Human–human Interactions. 3. Analyzing User Opinions in Human–Agent?Interactions. 4. Socio-emotional Interaction Strategies: the Case of Alignment. 5. Generating Socio-emotional Behaviors. | |
520 | _aAs 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. | ||
650 | 0 | _aCorpora (Linguistics). | |
650 | 0 | _aComputational linguistics. | |
650 | 0 |
_aPublic opinion _xData processing. |
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650 | 0 | _aArtificial intelligence. | |
650 | 0 |
_aEmotions _xData processing. |
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650 | 0 | _aHuman-computer interaction. | |
655 | 0 | _aElectronic books. | |
856 |
_yFull text available at Wiley Online Library Click here to view _uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781119649403 |
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