Sarcasm Detection with Commonsense Knowledge

You are here

Top Reasons to Join SPS Today!

1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.

Sarcasm Detection with Commonsense Knowledge

By: 
Jiangnan Li; Hongliang Pan; Zheng Lin; Peng Fu; Weiping Wang

Sarcasm is commonly used in today's social media platforms such as Twitter and Reddit. Sarcasm detection is necessary for analysing people's real sentiments as people usually use sarcasm to express a flipped emotion against the literal meaning. However, the current works neglect the fact that commonsense knowledge is crucial for sarcasm recognition. In this paper, we propose a novel architecture in deep learning for sarcasm detection by integrating commonsense knowledge. To be specific, we apply the pre-trained COMET model to generate relevant commonsense knowledge. Besides, we compare two kinds of knowledge selection strategies to investigate how commonsense knowledge influences performance. Finally, a knowledge-text integration module is designed to model both text and knowledge. The experimental results demonstrate our model's effectiveness on three datasets, including two Twitter datasets and a Reddit dataset.

Sarcasm is a form of figurative language, defined as “the use of irony to mock or convey contempt”1, which is ubiquitous in social media platforms such as Twitter and Reddit. People tend to use sarcasm to express the opposite of superficial meaning [1]. The utterance “I love to see a doctor every day” expresses sarcastic meaning. It shows a negative sentiment towards the situation of “see a doctor every day”, even the utterance contains positive sentiment words such as “like”. 

SPS on Twitter

  • This Wednesday, join the Information Forensics and Security Technical Committee Webinar Series when Dr. Richard Heu… https://t.co/ORdtuq5SlQ
  • Our Biomedical Imaging and Signal Processing Webinar Series continues on Tuesday, 5 July when Michael Unser present… https://t.co/7bYh8ZPHI0
  • Join us TODAY at 11:00 AM ET when the Brain Space Initiative Talk Series continues with Dr. Tianming Liu presenting… https://t.co/MEfnzk6dAE
  • Our 75th anniversary is approaching in 2023, and we're celebrating with a Special Issue of IEEE Signal Processing M… https://t.co/U6UNv8kLSO
  • The SPS Webinar Series continues on Monday, 20 June when Dr. Zhijin Qin presents "Semantic Communications: Principl… https://t.co/FhI7aP3GLi

SPS Videos


Signal Processing in Home Assistants

 


Multimedia Forensics


Careers in Signal Processing             

 


Under the Radar