Abstract
Detecting emotion from text has become an interesting topic in the field of natural language processing. Emotion detection aims to detect and recognize types of emotion from various sources such as text, facial expression and gestures, and speech. This paper proposes an efficient emotion detection technique by searching emotional words from a pre-defined emotional keyword database. The method analyzes the emotion words and phrasal verbs, also considers negation words and exhibits better performance than recent approaches.
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Seal, D., Roy, U.K., Basak, R. (2020). Sentence-Level Emotion Detection from Text Based on Semantic Rules. In: Tuba, M., Akashe, S., Joshi, A. (eds) Information and Communication Technology for Sustainable Development. Advances in Intelligent Systems and Computing, vol 933. Springer, Singapore. https://doi.org/10.1007/978-981-13-7166-0_42
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DOI: https://doi.org/10.1007/978-981-13-7166-0_42
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