Abstract
In recent years, emotional analysis has remained a hot topic, permeating people's daily lives and playing an indispensable role in various environments. Researchers can improve products and services and forecast user behavior using sentiment analysis to understand consumers' emotional inclinations and reactions. This paper's comprehensive review of emotional analysis is conducted through various research data. This study integrates emotional analysis and multimodal data research, elaborating on emotional analysis's characteristics and pros and cons from aspects such as facial expressions, voice information, and textual data. This paper points out the current applications of emotional analysis and recent research advancements, selecting various features and methods for emotion tendency classification, and utilizing existing technological tools for analysis. Lastly, this work combines multimodal data with various studies to make emotional analysis more widely and aptly applied in everyday life. There are greater opportunities for sentiment analysis in various domains thanks to the advancements in multimodal sentiment analysis research and modal fusion technologies.
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
