2012•Unpublished venueRequires access

Emotion detection state of the art

Haji Binali, Vidyasagar M. Potdar

Open publisher page 30 citations

Abstract

Emotion recognition and analysis has been extensively researched in neuroscience, psychology, cognitive science and computer science. In the absence of verbal and facial cues commonly associated with recognizing emotions, can emotions be detected via intelligently analyzing textual information?

About this research paper

What this paper is about

Emotion recognition and analysis has been extensively researched in neuroscience, psychology, cognitive science and computer science. In the absence of verbal and facial cues commonly associated with recognizing emotions, can emotions be detected via intelligently analyzing textual information?

Why it matters

OpenAlex reports 30 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Emotion recognition and analysis has been extensively researched in neuroscience, psychology, cognitive science and computer science. In the absence of verbal and facial cues commonly associated with recognizing emotions, can emotions be detected via intelligently analyzing textual information?

Key concepts: Emotion detection, Emotion recognition, Computer science, Affective computing, Cognition, State (computer science), Facial expression, Cognitive neuroscience

Related papers

Back to paper searchBrowse research topicsOriginal source
Emotion detection state of the art — Research Paper | ScholarLens