Opinion analysis in interactions : from data mining to human-agent interaction / Chloe Clavel.

By: Clavel, Chloé [author]
Language: English Publisher: Hoboken, NJ : Wiley-ISTE, 2019Description: 1 online resource, (162 pages)Content type: text Media type: computer Carrier type: online resourceISBN: 9781786304193 ; 9781119649403Subject(s): Corpora (Linguistics) | Computational linguistics | Public opinion -- Data processing | Artificial intelligence | Emotions -- Data processing | Human-computer interactionGenre/Form: Electronic books.DDC classification: 410.188 Online resources: Full text available at Wiley Online Library Click here to view
Contents:
TABLE 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.
Summary: 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.
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410.188 C576 2019 (Browse shelf) Available CL-50954
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ABOUT 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.

TABLE 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.

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.

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