Zhouhao Ouyang
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View article: A survey on textual emotion cause extraction in social networks
A survey on textual emotion cause extraction in social networks Open
With the rapid development of web technology, Social Networks (SNs) have become one of the most popular platforms for users to exchange views and to express their emotions. More and more people are used to commenting on a certain hot spot …
View article: $p$-Norm Broad Learning for Negative Emotion Classification in Social Networks
$p$-Norm Broad Learning for Negative Emotion Classification in Social Networks Open
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 hype…
View article: A survey on deep learning for textual emotion analysis in social networks
A survey on deep learning for textual emotion analysis in social networks Open
Textual Emotion Analysis (TEA) aims to extract and analyze user emotional states in texts. Various Deep Learning (DL) methods have developed rapidly, and they have proven to be successful in many fields such as audio, image, and natural la…