Text‐based emotion detection: Advances, challenges, and opportunities
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- Francisca Adoma Acheampong
- Computational Intelligence Lab, Department of Computer Science and Technology University of Electronic Science and Technology of China Chengdu China
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- Chen Wenyu
- Computational Intelligence Lab, Department of Computer Science and Technology University of Electronic Science and Technology of China Chengdu China
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- Henry Nunoo‐Mensah
- Connected Devices Lab, Department of Computer Engineering Kwame Nkrumah University of Science and Technology Kumasi Ghana
説明
<jats:title>Abstract</jats:title><jats:p>Emotion detection (ED) is a branch of sentiment analysis that deals with the extraction and analysis of emotions. The evolution of Web 2.0 has put text mining and analysis at the frontiers of organizational success. It helps service providers provide tailor‐made services to their customers. Numerous studies are being carried out in the area of text mining and analysis due to the ease in sourcing for data and the vast benefits its deliverable offers. This article surveys the concept of ED from texts and highlights the main approaches adopted by researchers in the design of text‐based ED systems. The article further discusses some recent state‐of‐the‐art proposals in the field. The proposals are discussed in relation to their major contributions, approaches employed, datasets used, results obtained, strengths, and their weaknesses. Also, emotion‐labeled data sources are presented to provide neophytes with eligible text datasets for ED. Finally, the article presents some open issues and future research direction for text‐based ED.</jats:p>
収録刊行物
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- Engineering Reports
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Engineering Reports 2 (7), 2020-05-28
Wiley