Attention-based multi-modal sentiment analysis and emotion detection in conversation using RNN

MG Huddar, SS Sannakki, VS Rajpurohit - 2021 - reunir.unir.net
The availability of an enormous quantity of multimodal data and its widespread applications,
automatic sentiment analysis and emotion classification in the conversation has become an …

Information fusion in attention networks using adaptive and multi-level factorized bilinear pooling for audio-visual emotion recognition

H Zhou, J Du, Y Zhang, Q Wang… - … /ACM Transactions on …, 2021 - ieeexplore.ieee.org
Multimodal emotion recognition is a challenging task in emotion computing as it is quite
difficult to extract discriminative features to identify the subtle differences in human emotions …

Multi-level context extraction and attention-based contextual inter-modal fusion for multimodal sentiment analysis and emotion classification

MG Huddar, SS Sannakki, VS Rajpurohit - International Journal of …, 2020 - Springer
The recent advancements in the Internet technology and its associated services, led the
users to post a large amount of multimodal data into social media Web sites, online …

Attention-based word-level contextual feature extraction and cross-modality fusion for sentiment analysis and emotion classification

MG Huddar, SS Sannakki… - International Journal of …, 2020 - inderscienceonline.com
Multimodal affective computing has become a popular research area, due to the availability
of a large amount of multimodal content. Feature alignment between the modalities and …

Multi‐level feature optimization and multimodal contextual fusion for sentiment analysis and emotion classification

MG Huddar, SS Sannakki… - Computational …, 2020 - Wiley Online Library
The availability of the humongous amount of multimodal content on the internet, the
multimodal sentiment classification, and emotion detection has become the most researched …

Transformer based multimodal speech emotion recognition with improved neural networks

RA Patamia, W Jin, KN Acheampong… - 2021 IEEE 2nd …, 2021 - ieeexplore.ieee.org
With the procession of technology, the human-machine interaction research field is in
growing need of robust automatic emotion recognition systems. Building machines that …

Emotion Recognition of College Students Based on Audio and Video Image.

C Zhu, T Ding, X Min - Traitement du Signal, 2022 - search.ebscohost.com
Emotional problems are common among contemporary college students. To improve their
mental health, it is urgent to quickly identify college students' negative emotions, and guide …

[PDF][PDF] Research on Two-Dimensionalization Algorithms for Improving Emotion Recognition Accuracy in Speech Data and its Evaluation of Generalized Deployment

Y Zijun - 2024 - kyutech.repo.nii.ac.jp
With the development of society and the intensification of competition, people face
increasing life pressure in their daily life, which has a significant impact on the mental health …