Text-based emotion detection: Advances, challenges, and opportunities

被引:163
作者
Acheampong, Francisca Adoma [1 ]
Chen Wenyu [1 ]
Nunoo-Mensah, Henry [2 ]
机构
[1] Univ Elect Sci & Technol China, Dept Comp Sci & Technol, Computat Intelligence Lab, Chengdu, Peoples R China
[2] Kwame Nkrumah Univ Sci & Technol, Dept Comp Engn, Connected Devices Lab, Kumasi, Ghana
关键词
emotion detection; natural language processing; sentiment analysis; text-based emotion detection; RECOGNITION; ENSEMBLE; MOOD;
D O I
10.1002/eng2.12189
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
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页数:24
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