User emotion recognition from a larger pool of social network data using active learning
User emotion recognition from a larger pool of social network data using active learning
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Publisher
New York: Springer US
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Language
English
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Publisher
New York: Springer US
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Scope and Contents
Contents
The use of social networks has grown exponentially in recent years. The large amount of data available in these networks can be effectively utilized in many machine learning applications. This paper proposes a framework of an emotion recognition system that fetches huge amount of face images from the social networks into a cloud. In the cloud, the...
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Full title
User emotion recognition from a larger pool of social network data using active learning
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Author / Creator
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TN_cdi_proquest_journals_2085589690
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2085589690
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ISSN
1380-7501
E-ISSN
1573-7721
DOI
10.1007/s11042-016-3912-2
