A systematic review on affective computing: Emotion models, databases, and recent advances
Affective computing conjoins the research topics of emotion recognition and sentiment
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …
Aspect-based sentiment analysis: an overview in the use of Arabic language
R Bensoltane, T Zaki - Artificial Intelligence Review, 2023 - Springer
Sentiment analysis has become one of the most active research areas in natural language
processing, and the Arabic language retains its importance in this field. It is so because of …
processing, and the Arabic language retains its importance in this field. It is so because of …
Video sentiment analysis with bimodal information-augmented multi-head attention
T Wu, J Peng, W Zhang, H Zhang, S Tan, F Yi… - Knowledge-Based …, 2022 - Elsevier
Humans express feelings or emotions via different channels. Take language as an example,
it entails different sentiments under different visual–acoustic contexts. To precisely …
it entails different sentiments under different visual–acoustic contexts. To precisely …
An emotional classification method of Chinese short comment text based on ELECTRA
S Zhang, H Yu, G Zhu - Connection Science, 2022 - Taylor & Francis
Chinese short comment texts have the characteristics of feature sparseness, interlacing,
irregularity, etc., which makes it difficult to fully grasp the overall emotional tendency of …
irregularity, etc., which makes it difficult to fully grasp the overall emotional tendency of …
Modality-invariant temporal representation learning for multimodal sentiment classification
Multimodal sentiment classification is a notable research field that aims to refine sentimental
information and classify the sentiment tendency from sequential multimodal data. Most …
information and classify the sentiment tendency from sequential multimodal data. Most …
Pronounce differently, mean differently: a multi-tagging-scheme learning method for Chinese NER integrated with lexicon and phonetic features
C Mai, J Liu, M Qiu, K Luo, Z Peng, C Yuan… - Information Processing & …, 2022 - Elsevier
Abstract Named Entity Recognition (NER) aims to automatically extract specific entities from
the unstructured text. Compared with performing NER in English, Chinese NER is more …
the unstructured text. Compared with performing NER in English, Chinese NER is more …
Rumor events detection enhanced by encoding sentimental information into time series division and word representations
Z Wang, Y Guo - Neurocomputing, 2020 - Elsevier
Abstract Online Social Networks (OSNs) is an ideal place for spreading rumor events as it is
convenient in information production and dissemination. Automatically debunking these …
convenient in information production and dissemination. Automatically debunking these …
A hybrid stock market prediction model based on GNG and reinforcement learning
Y Wu, Z Fu, X Liu, Y Bing - Expert Systems with Applications, 2023 - Elsevier
The stock market is a dynamic, complex, and chaotic environment, which makes predictions
for the stock market difficult. Many prediction methods are applied to the stock market, but …
for the stock market difficult. Many prediction methods are applied to the stock market, but …
CSAT-FTCN: a fuzzy-oriented model with contextual self-attention network for multimodal emotion recognition
Multimodal emotion analysis has become a hot trend because of its wide applications, such
as the question-answering system. However, in a real-world scenario, people usually have …
as the question-answering system. However, in a real-world scenario, people usually have …
Exploiting bi-directional deep neural networks for multi-domain sentiment analysis using capsule network
A Ghorbanali, MK Sohrabi - Multimedia Tools and Applications, 2023 - Springer
Sentiment analysis (SA) is the computational analysis of the ideas, feelings, and opinions
that determines the polarity of the text documents or comments using natural language …
that determines the polarity of the text documents or comments using natural language …