Multimodal mutual attention-based sentiment analysis framework adapted to complicated contexts

L He, Z Wang, L Wang, F Li - … on Circuits and Systems for Video …, 2023 - ieeexplore.ieee.org
Sentiment analysis has broad application prospects in the field of social opinion mining. The
openness and invisibility of the internet makes users' expression styles more diverse and …

Big Data Analytics, Processing Models, Taxonomy of Tools, V's, and Challenges: State‐of‐Art Review and Future Implications

S Dasari, R Kaluri - Wireless Communications and Mobile …, 2023 - Wiley Online Library
In the current digital era, data is budding tremendously from various sources like banks,
businesses, education, entertainment, etc. Due to its significant consequence, it became a …

Energy efficiency in software defined networking: A survey

S Rout, KS Sahoo, SS Patra, B Sahoo, D Puthal - SN Computer Science, 2021 - Springer
Software defined networking has solved many challenging issues in the field of networking
industry. It separates the control plane from the data forwarding plane. This makes SDN to …

[HTML][HTML] Deep cross-corpus speech emotion recognition: Recent advances and perspectives

S Zhang, R Liu, X Tao, X Zhao - Frontiers in neurorobotics, 2021 - frontiersin.org
Automatic speech emotion recognition (SER) is a challenging component of human-
computer interaction (HCI). Existing literatures mainly focus on evaluating the SER …

Automatic emotion recognition in clinical scenario: a systematic review of methods

L Pepa, L Spalazzi, M Capecci… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
BACKGROUND-Automatic emotion recognition has powerful and interesting opportunities in
the clinical field, but several critical aspects are still open, such as heterogeneity of …

AMSA: Adaptive multimodal learning for sentiment analysis

J Wang, L Mou, L Ma, T Huang, W Gao - ACM Transactions on …, 2023 - dl.acm.org
Efficient recognition of emotions has attracted extensive research interest, which makes new
applications in many fields possible, such as human-computer interaction, disease …

Toward explainable affective computing: A review

K Cortiñas-Lorenzo, G Lacey - IEEE Transactions on Neural …, 2023 - ieeexplore.ieee.org
Affective computing has an unprecedented potential to change the way humans interact with
technology. While the last decades have witnessed vast progress in the field, multimodal …

[HTML][HTML] Multimodal age and gender estimation for adaptive human-robot interaction: A systematic literature review

HA Younis, NIR Ruhaiyem, AA Badr, AK Abdul-Hassan… - Processes, 2023 - mdpi.com
Identifying the gender of a person and his age by way of speaking is considered a crucial
task in computer vision. It is a very important and active research topic with many areas of …

面向深度学习的多模态情感识别研究进展.

赵小明, 杨轶娇, 张石清 - … of Frontiers of Computer Science & …, 2022 - search.ebscohost.com
多模态情感识别是指通过与人类情感表达相关的语音, 视觉, 文本等不同模态信息来识别人的
情感状态. 该研究在人机交互, 人工智能, 情感计算等领域有着重要的研究意义, 备受研究者关注 …

Using transformers for multimodal emotion recognition: Taxonomies and state of the art review

S Hazmoune, F Bougamouza - Engineering Applications of Artificial …, 2024 - Elsevier
Emotion recognition is an aspect of human-computer interaction, affective computing, and
social robotics. Conventional unimodal approaches for emotion recognition, depending on …