Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions
By Ankita Gandhi, Kinjal U. Adhvaryu, Soujanya Poria, Erik Cambria, Amir Hussain. Information Fusion, 2022
642 citations recorded by the source corpus.
Sentiment analysis (SA) has gained much traction In the field of artificial intelligence (AI) and natural language processing (NLP). There is growing demand to automate analysis of user sentiment towards products or services. Opinions are increasingly being shared online in the form of videos rather than text alone. This has led to SA using multiple modalities, termed Multimodal Sentiment Analysis (MSA), becoming an important research area. MSA utilises latest advancements in machine learning and deep learning at various stages including for multi-modal feature extraction and fusion and sentiment polarity detection, with aims to minimize error rate and improve performance. This survey paper examines primary taxonomy and newly released multimodal fusion architectures. Recent developments in MSA architectures are divided into ten categories, namely early fusion, late fusion, hybrid fusion, model-level fusion, tensor fusion, hierarchical fusion, bi-modal fusion, attention-based fusion, quantum-based fusion and word-level fusion. A comparison of several architectural evolutions in terms of MSA fusion categories and their relative strengths and limitations are presented. Finally, a number of interdisciplinary applications and future research directions are proposed.
Subfields: Artificial Intelligence, Experimental and Cognitive Psychology
View Paper: https://www.semanticscholar.org/paper/10e40ecbfeead7643742af677fd52df96239a584
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In Artificial Intelligence
In Experimental and Cognitive Psychology
Citations in the corpus
- Multimodal Sentiment Analysis: A Survey of Methods, Trends, and Challenges (2023, background): “[20] reported a survey paper to examine the primary taxonomy and newly released multimodal fusion architectures.”