Opinion analysis in interactions: from data mining to human-agent interaction

By: Clavel, Chloe [Author]Material type: Text

TextLanguage: English Publication details: New Jersey: Wiley Data and Cybersecurity, 2019. Description: xxxiv, 124pISBN: 9781119649380Subject(s): enerating Socio‐emotional Behaviors | Oral and Written Interaction Corpora | Analyzing User Opinions in Human–Agent InteractionsDDC classification: 006.312 Online resources: Click here to access online

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings ( 1 )
Title notes ( 1 )

Holdings
Item type	Current library	Call number	Status	Date due	Barcode
e-Books	Dr. S. R. Ranganathan Library Ebook (Online Access)	006.312 (Browse shelf(Opens below))	Available		EB0199

Browsing Dr. S. R. Ranganathan Library shelves, Shelving location: Ebook (Online Access) Close shelf browser (Hides shelf browser)

Previous								Next
Previous	006.31 Machine learning techniques and analytics for cloud security	006.31 Reinforcement learning and stochastic optimization: A unified framework for sequential decisions	006.312 Information quality: the potential of data and analytics to generate knowledge	006.312 Opinion analysis in interactions: from data mining to human-agent interaction	006.312 Societal responsibility of artificial intelligence: towards an ethical and eco-responsible AI	006.312 (Online Access) Artificial intelligence and big data: the birth of a new intelligence	006.31208 (Online Access) Artificial intelligence and data mining approaches in security frameworks	Next

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.