I’m working on a project that analyzes social media posts and reviews, and one of the main challenges is detecting sarcasm and subtle contextual meaning. Traditional sentiment analysis often misclassifies sarcastic statements because the literal words don’t match the intended sentiment.

I’ve read about transformer-based models like BERT or RoBERTa, as well as approaches using contextual embeddings or hybrid rule-based + ML models, but I’m curious: what are the most practical NLP techniques for accurately detecting sarcasm in short, informal text?