Affective Computing and Sentiment Analysis


Understanding emotions is a crucial aspect of personal development and growth, and as such it is a key tile for the emulation of human intelligence. Besides being necessary for the advancement of AI, emotion processing is additionally necessary for the closely related task of polarity detection. The chance to automatically capture the final public's sentiments concerning social events, political movements, promoting campaigns, and product preferences has raised interest in both the scientific community, for the exciting open challenges, and the business world, for the exceptional fallouts in selling and monetary market prediction. This has led to the emerging fields of affective computing and sentiment analysis, which leverage human-computer interaction, data retrieval, and multimodal Signal Processing for distilling individuals's sentiments from the ever-growing amount of on-line social data.

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