Learn how to handle sarcasm and irony in NLP tasks with Python, exploring techniques from data annotation to deep learning models. Sign in to view more content ...

For sarcasm and irony detection, consider linguistic cues like hyperboles, contradictions, or punctuation patterns. Use Python libraries like Pandas to manipulate your data and extract these features.

News headlines dataset used for sarcasm classification is stored in data/ directory. Training, validation, test data in the form of jsonl files. Training can be found in data/train.jsonl, validation ...

Overview Sarcasm detection is a challenging task in natural language processing (NLP) where the goal is to determine whether a given text is sarcastic or not. Sarcasm is often subtle and can be ...

To create a system that will detect and interpret sarcastic messages in blog and tweet using natural language processing (NLP) technology and support vector machines (SVM). The data used for training ...