Ensemble application of convolutional neural networks and multiple kernel learning for multimodal sentiment analysis
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.09.117
Abstract: Abstract The advent of the Social Web has enabled anyone with an Internet connection to easily create and share their ideas, opinions and content with millions of other people around the world. In pace with… read more here.
Keywords: multiple kernel; analysis; multimodal sentiment; kernel learning ... See more keywords
MEDT: Using Multimodal Encoding-Decoding Network as in Transformer for Multimodal Sentiment Analysis
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DOI: 10.1109/access.2022.3157712
Abstract: Multimodal sentiment analysis is a challenging task in the field of natural language processing (NLP). It uses multimodal signals (natural language, facial gestures, and acoustic behavior) in videos to generate emotional understanding. However, the importance… read more here.
Keywords: natural language; network transformer; multimodal sentiment; network ... See more keywords
AdaMoW: Multimodal Sentiment Analysis Based on Adaptive Modality-Specific Weight Fusion Network
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DOI: 10.1109/access.2023.3276932
Abstract: Multimodal sentiment analysis (MSA) is a crucial task in the field of natural language processing (NLP), with a wide range of applications. This paper proposes an adaptive modality-specific weight fusion network (AdaMoW) to address issues… read more here.
Keywords: network; fusion; sentiment; modality ... See more keywords
Video-Based Cross-Modal Auxiliary Network for Multimodal Sentiment Analysis
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DOI: 10.1109/tcsvt.2022.3197420
Abstract: Multimodal sentiment analysis has a wide range of applications due to its information complementarity in multimodal interactions. Previous works focus more on investigating efficient joint representations, but they rarely consider the insufficient unimodal features extraction… read more here.
Keywords: sentiment analysis; cross modal; multimodal sentiment; sentiment ... See more keywords
Real-Time Human-Music Emotional Interaction Based on Deep Learning and Multimodal Sentiment Analysis
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DOI: 10.1155/2023/4939048
Abstract: Music, as an integral component of culture, holds a prominent position and is widely accessible. There has been growing interest in studying sentiment represented by music and its emotional effects on its audiences, however, much… read more here.
Keywords: music; sentiment; real time; multimodal sentiment ... See more keywords
AFR-BERT: Attention-based mechanism feature relevance fusion multimodal sentiment analysis model
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DOI: 10.1371/journal.pone.0273936
Abstract: Multimodal sentiment analysis is an essential task in natural language processing which refers to the fact that machines can analyze and recognize emotions through logical reasoning and mathematical operations after learning multimodal emotional features. For… read more here.
Keywords: fusion; analysis; multimodal sentiment; model ... See more keywords
Sentiment Analysis of Social Media via Multimodal Feature Fusion
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DOI: 10.3390/sym12122010
Abstract: In recent years, with the popularity of social media, users are increasingly keen to express their feelings and opinions in the form of pictures and text, which makes multimodal data with text and pictures the… read more here.
Keywords: social media; multimodal sentiment; sentiment; fusion ... See more keywords