Sarcasm Detection using Cognitive Features of Visual Data by Learning Model

作者：

Highlights：

• Sentiment behaviour with sarcasm depends on cognitive features of natural utterances.

• Sarcasm sentence embeds with feeling factor of utterance.

• Detection of sarcasm depends on positive situation and negative sentence.

• The computation of analytics of Multi modal data sets classify sarcasm in sentences.

摘要

•Sentiment behaviour with sarcasm depends on cognitive features of natural utterances.•Sarcasm sentence embeds with feeling factor of utterance.•Detection of sarcasm depends on positive situation and negative sentence.•The computation of analytics of Multi modal data sets classify sarcasm in sentences.

论文关键词：Natural language processing,Multiclass neural network,Sentiment analysis,Sarcasm,Cognitive features,Pragmatic

论文评审过程：Received 12 October 2020, Revised 10 May 2021, Accepted 23 June 2021, Available online 26 June 2021, Version of Record 9 July 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115476