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Related Questions
- How does the inclusion of emoticons and punctuation impact sarcasm detection models?
- What role does world knowledge play in distinguishing between irony and non-irony in human communication?
- Are there any efforts to integrate emotional analysis into sarcasm and irony detection models to capture more subtle cues?
- What are the potential limitations and challenges in creating large datasets for sarcastic or ironic text for machine learning algorithms?
- How does the evolution of social media platforms affect the prevalence and expression of sarcasm and irony, and can this be accounted for in NLP models?
- What are the implications of incorporating contextual understanding, such as shared knowledge or power dynamics, in the interpretation of sarcasm and irony in text-based conversations?
- How might NLP models designed for sarcastic or ironic language use differ in the analysis of multimodal (visual and linguistic) expression compared to solely linguistic contexts?
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