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Focusing on concept-level sentiment analysis, this volume integrates affective computing, information extraction, and common-sense computing. It emphasizes a knowledge-based approach that leverages insights from both computer and social sciences to enhance the interpretation and processing of information online. The work aims to bridge gaps in understanding sentiments expressed in digital content, offering innovative methodologies for analyzing emotions in various contexts.
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Sentic Computing, Erik Cambria, Amir Hussain
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- 2019
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