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Sentiment Analysis on Multimodal Data: Integrating Text, Image, and Audio for Emotion Detection

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Sentiment analysis on multimodal data refers to the process of analyzing and understanding emotions expressed across various types of data, such as text, images, and audio. This approach integrates multiple modalities of data to gain a more comprehensive understanding of sentiment and emotion. Multimodal Data: Multimodal data refers to data that is represented in multiple forms or modes, such as text, images, and audio. Each modality provides unique information that can contribute to understanding sentiment and emotions. Sentiment Analysis: Sentiment analysis, also known as opinion mining, is the process of identifying and extracting subjective information from textual data. It involves determining the sentiment expressed in a piece of text, whether it is positive, negative, or neutral. Emotion Detection: Emotion detection goes beyond sentiment analysis by aiming to identify specific emotions expressed in the data. This can include emotions such as happiness, sadness, anger, and more n