p-Norm Broad Learning for Negative Emotion Classification in Social Networks

p-Norm Broad Learning for Negative Emotion Classification in Social Networks

Negative emotion classification refers to the automatic classification of negative emotion of texts in social networks. Most existing methods are based on deep learning models, facing challenges such as complex structures and too many hyperparameters. To meet these challenges, in this paper, we prop...

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Bibliographic Details
Main Authors: Guanghao Chen, Sancheng Peng, Rong Zeng, Zhongwang Hu, Lihong Cao, Yongmei Zhou, Zhouhao Ouyang, Xiangyu Nie
Format: Article
Language:English
Published: Tsinghua University Press 2022-09-01
Series:Big Data Mining and Analytics
Subjects:
social networks
negative emotion
roberta
broad learning
p-norm
Online Access:https://www.sciopen.com/article/10.26599/BDMA.2022.9020008
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https://www.sciopen.com/article/10.26599/BDMA.2022.9020008

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