Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
Flan-T5 Sarcasmhuggingface.co · Low evidenceThe Sarcasm-Enhanced Sentiment Analysis model from Bharatiyabytes uses Flan-T5-small to perform sentiment classification with a focus on sarcasm, fine-tuned on IMDB and sentimentWithSarcasm. It can be used directly for sarcasm-aware sentiment analysis and as a base for downstream tasks like social media analysis, customer feedback processing, and sarcasm-rich content monitoring. The model is released under Apache 2.0 for English-language text classification.
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