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Related Experiment Video

Updated: Mar 31, 2026

Experimental Paradigm for Measuring the Effect of Induced Emotion on Grammar Learning

Experimental Paradigm for Measuring the Effect of Induced Emotion on Grammar Learning

Published on: January 29, 2020

Neural Cognition and Affective Computing on Cyber Language.

Shuang Huang¹, Xuan Zhou², Ke Xue³

¹Overseas Training Center, Shanghai International Studies University, Shanghai 200083, China.

Computational Intelligence and Neuroscience

|October 23, 2015

Summary

This study classifies emotional symbols in cyber language, analyzing their cognitive traits and neural basis. It proposes an intelligent method for affective computing across international languages using the PAD emotional space.

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Last Updated: Mar 31, 2026

Experimental Paradigm for Measuring the Effect of Induced Emotion on Grammar Learning

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Published on: January 29, 2020

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

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Brain Imaging Investigation of the Neural Correlates of Emotion Regulation

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Area of Science:

Computational Linguistics
Affective Computing
Cognitive Science

Background:

Cyber language, with its unique symbols and expressions, is crucial for communication and public opinion analysis.
Understanding emotions in cyber language is vital for internet marketing, feedback monitoring, and social emergency management.

Purpose of the Study:

To classify emotional symbols within cyber language.
To analyze the cognitive characteristics and neural mechanisms of these symbols.
To develop an international affective computing method for cyber language.

Main Methods:

Multidisciplinary research integrating linguistics, psychology, and neuroscience.
Comparative analysis of emotional expression in Chinese, English, and Spanish cyber language.
Development of a mechanism model for neural activities in emotional symbol processing.

Main Results:

A novel classification of emotional symbols in cyber language.
Insights into the cognitive processing and neural underpinnings of emotional symbols.
A unified model for affective computing in a Pleasure-Arousal-Dominance (PAD) emotional space.

Conclusions:

Cyber language's emotional symbols have distinct cognitive and neural patterns.
An intelligent, cross-lingual method for affective computing in cyber language is feasible.
This research advances the understanding and computational analysis of emotions in digital communication.