作者
V Sunil Kumar, S Renukadevi, BM Yashaswini, Vindhya P Malagi, Piyush Kumar Pareek
发表日期
2023/2/24
图书
International Conference on Emerging Research in Computing, Information, Communication and Applications
页码范围
463-480
出版商
Springer Nature Singapore
简介
For the purpose of identifying the felt emotions and intentions behind multimodal data, multimodal sentiment investigation seeks to semantic info acquired across different modalities. The primary focus of this field of study is the design of a novel fusion system that can efficiently and effectively aggregate data from several sources. However, the ability to use the independence and connection across modalities is lacking in prior work, preventing optimal performance. Consequently, the work suggests a unique approach to visual and textual sense modality and then fuses these features using different kernel learning techniques (MKL). After that, we feed the combined dataset into an Extreme Learning Machine (ELM), where we use the Vortex Search Algorithm to choose the most appropriate bias and weight (VSA). When everything is said and done, trials are run on two publicly accessible datasets, and the results are …
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V Sunil Kumar, S Renukadevi, BM Yashaswini… - International Conference on Emerging Research in …, 2023