[HTML][HTML] A review on the long short-term memory model
Long short-term memory (LSTM) has transformed both machine learning and
neurocomputing fields. According to several online sources, this model has improved …
neurocomputing fields. According to several online sources, this model has improved …
Multimodal sentiment analysis: a survey of methods, trends, and challenges
Sentiment analysis has come long way since it was introduced as a natural language
processing task nearly 20 years ago. Sentiment analysis aims to extract the underlying …
processing task nearly 20 years ago. Sentiment analysis aims to extract the underlying …
[HTML][HTML] Sentiment analysis using deep learning architectures: a review
A Yadav, DK Vishwakarma - Artificial Intelligence Review, 2020 - Springer
Social media is a powerful source of communication among people to share their sentiments
in the form of opinions and views about any topic or article, which results in an enormous …
in the form of opinions and views about any topic or article, which results in an enormous …
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 …
[HTML][HTML] A deep learning architecture of RA-DLNet for visual sentiment analysis
A Yadav, DK Vishwakarma - Multimedia Systems, 2020 - Springer
Visual media has become one of the most potent means of conveying opinions or
sentiments on the web. Millions of photos are being uploaded by the people on famous …
sentiments on the web. Millions of photos are being uploaded by the people on famous …
[HTML][HTML] Voxel-based 3D face reconstruction and its application to face recognition using sequential deep learning
S Sharma, V Kumar - Multimedia tools and applications, 2020 - Springer
In this paper, a novel 3D face reconstruction technique is proposed along with a sequential
deep learning-based framework for face recognition. It uses the voxels generated from the …
deep learning-based framework for face recognition. It uses the voxels generated from the …
A multimodal sentiment analysis system for recognizing person aggressiveness in pain based on textual and visual information
This article proposes a multimodal sentiment analysis system for recognizing a person's
aggressiveness in pain. The implementation has been divided into five components. The …
aggressiveness in pain. The implementation has been divided into five components. The …
Intermediate layer attention mechanism for multimodal fusion in personality and affect computing
This article introduces a versatile multimodal architecture designed for personality-aware
systems, encompassing tasks such as personality trait prediction, sentiment analysis, and …
systems, encompassing tasks such as personality trait prediction, sentiment analysis, and …
Sentiment-Oriented Sarcasm Integration: Effective Enhancement of Video Sentiment Analysis with Sarcasm Assistance
Sarcasm is an intricate expression phenomenon and has garnered increasing attentions
over the recent years, especially for multimodal contexts such as videos. Nevertheless …
over the recent years, especially for multimodal contexts such as videos. Nevertheless …
基于个性化和记忆机制的多模态情感计算模型
周思锦， 陈棣成， 涂耿， 姜大志 - 系统仿真学报, 2022 - china-simulation.com
随着情感计算研究的不断深入, 记忆, 个性化, 情感之间的密切联系逐渐引起研究者的重视.
已有方法在机器情感的感知, 理解和表达方面仍存在着诸多不足. 提出一种集情感感知 …
已有方法在机器情感的感知, 理解和表达方面仍存在着诸多不足. 提出一种集情感感知 …