Research on Sarcastic Emotion Recognition Based on Multiple Feature Fusion [PDF]
ITM Web of ConferencesSarcasm detection significantly enhances the performance of various natural language processing applications, such as sentiment analysis, opinion mining, and stance detection.
Si Kaihao
doaj +1 more source
Sarcasm Over Time and Across Platforms: Does the Way We Express Sarcasm Change?
IEEE Access, 2022 Sarcasm is a sophisticated form of speech used to convey a message other than the apparent one. To date, there are numerous papers that have discussed the idea of automatic sarcasm detection and how it could be used for sentiment analysis improvement ...
Mondher Bouazizi, Tomoaki Ohtsuki
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Jointly Learning Sentimental Clues and Context Incongruity for Sarcasm Detection
IEEE Access, 2022 Sarcasm is widely used in social communities and e-commerce platforms, failing to detect it in natural language processing tasks leads to false positives, e.g., opinion mining and sentiment classification.
Wangqun Chen +4 more
doaj +1 more source
Corpus Annotation and Analysis of Sarcasm in Twitter: #CatsMovie vs. #TheRiseOfSkywalker
Atlantis, 2022 Sentiment analysis is a natural language processing task that has received increased attention in the last decade due to the vast amount of opinionated data on social media platforms such as Twitter.
Antonio Moreno-Ortiz +1 more
doaj +1 more source
Was that Sarcasm?: A Literature Survey on Sarcasm Detection
CoRRSarcasm is hard to interpret as human beings. Being able to interpret sarcasm is often termed as a sign of intelligence, given the complex nature of sarcasm. Hence, this is a field of Natural Language Processing which is still complex for computers to decipher.
Harleen Kaur Bagga +3 more
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Deep and Dense Sarcasm Detection
CoRR, 2019 8 pages, 2 figures, plan to present paper at a ...
Devin Pelser, Hugh Murrell
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Cognitive Relationship-Based Approach for Urdu Sarcasm and Sentiment Classification
IEEE Access, 2023 Humans have a natural tendency to express their emotions, but they are also skilled at using sarcasm to shape their feelings. In cognitive computing and natural language processing research, sentiment analysis and sarcasm detection are typically treated ...
Muhammad Yaseen Khan +3 more
doaj +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
Advanced Robotics Research, EarlyView.A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
Sarcasm Detection is Way Too Easy! An Empirical Comparison of Human and Machine Sarcasm Detection
Findings of the Association for Computational Linguistics: EMNLP 2022, 2022 Recently, author-annotated sarcasm datasets, which focus on intended, rather than perceived sarcasm, have been introduced. Although datasets collected using first-party annotation have important benefits, there is no comparison of human and machine performance on these new datasets.
Ibrahim Abu Farha +3 more
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A Survey on Automated Sarcasm Detection on Twitter
CoRR, 2022 33 pages, 14 ...
Bleau Moores, Vijay Mago
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