Journal of Guangxi Normal University(Natural Science Edition) ›› 2022, Vol. 40 ›› Issue (3): 57-65.doi: 10.16088/j.issn.1001-6600.2021091505

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Humor Recognition of Sitcom Based on Multi-granularity of Segmentation Enhancement and Semantic Enhancement

SUN Yansong, YANG Liang*, LIN Hongfei   

  1. School of Computer Science and Technology, Dalian University of Technology, Dalian Liaoning 116024, China
  • Received:2021-09-15 Revised:2022-01-05 Online:2022-05-25 Published:2022-05-27

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Abstract: In the field of natural language understanding, humorous computation has gradually become an important research content. Sitcom is a special form of humorous expression, which contains abundant humorous expressions. Chinese is so varied that it is a challenge for a computer to analyze the humor emotion. In order to solve the problem of Chinese humor calculation, the following work are done in this paper. First, a humor recognition algorithm, DISA-SE-GAT, based on segmentation enhancement and semantic enhancement, is proposed based on the graph attention network. Second, a humorous sitcom data set, ipartment, is constructed. Experimental results show that the model of word sense disambiguation and semantic enhancement, DISA-SE-GAT, performs well in the recognition of humorous expression in text.

Key words: humor computing, sentiment analysis, multi-granularity, semantic enhancement

CLC Number: 

  • TP391.1
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