Emotion Recognition in Social Network Texts Based on A Multilingual Architecture-Reference-Cited by-同舟云学术

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Emotion Recognition in Social Network Texts Based on A Multilingual Architecture

Published:2023-12-04 Issue: Volume:30 Page:809-815
ISSN:
Container-title:2023 IEEE International Conference on Data Mining Workshops (ICDMW)
language:
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Author:

Zou Jiajun¹,Zhang Yexuan²,Yang Jinshuai²,Wu Sixing³,Jiang Minghu¹,Huang Yongfeng⁴

Affiliation:

1. Tsinghua University,School of Humanities,Beijing,China

2. Tsinghua University,Department of Electronic Engineering,Beijing,China

3. North China Electric Power University,School of Control and Computer Engineering,Beijing,China

4. Tsinghua University,Zhongguancun Laboratory,Department of Electronic Engineering,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10411504/10411508/10411662.pdf?arnumber=10411662

Reference30 articles.

1. SenticNet 7: A commonsense-based neurosymbolic AI framework for explainable sentiment analysis;Cambria

2. SKIER: A Symbolic Knowledge Integrated Model for Conversational Emotion Recognition

3. The Biases of Pre-Trained Language Models: An Empirical Study on Prompt-Based Sentiment Analysis and Emotion Detection

4. Sentiment Analysis

5. Affective Computing and Sentiment Analysis

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