Emotion recognition and brain mapping for sentiment analysis: a review
The rapid growth of the Internet has caused the increase in the amount of textual information available, such as in blogs, discussion forums and review sites on the web, where the texts surely have the emotion content. Emotion is one appearence of people behaviour and it is an important perform...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2018
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/65210/ http://irep.iium.edu.my/65210/ http://irep.iium.edu.my/65210/ http://irep.iium.edu.my/65210/1/65210_Emotion%20recognition%20and%20brain%20mapping%20for%20sentiment%20analysis.pdf http://irep.iium.edu.my/65210/2/65210_Emotion%20recognition%20and%20brain%20mapping%20for%20sentiment%20analysis_SCOPUS.pdf |
| Summary: | The rapid growth of the Internet has caused the
increase in the amount of textual information available, such as
in blogs, discussion forums and review sites on the web, where
the texts surely have the emotion content. Emotion is one
appearence of people behaviour and it is an important
performance in human computer interaction (HCI). Human
express the emotion in the form of facial expression, speech and
writing text. Recently, researchers in computational linguistic
(CL) areas are interested in the attention of emotion for
Sentiment Analysis (SA). SA naturally observes the emotion
conveyed by a text, and at the same time, distinguishing
positive and negative valence.
The wide areas of CL research, actually considerable for
investigating the emotion dimension detection and searching
the approaches and techniques in the term of emotion
recognition (ER). There are two significant trends of research
in the area, the emotion recognition based on state affective
computing and the real time using brain signal machines. The
two areas have the same aim for getting the improvement result
in sentiment analysis with the mapping of emotion recognition
provided. The exclusive work on emotion detection is
comparatively rare and lacks empirical evaluation research.
This paper provides the overview of past and recent research
on emotion detection as well as some approaches and
techniques used and shows the linked between both SA and ER. |
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