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TwitterThis dataset comprises a collection of 450 poems, curated to facilitate the analysis of emotional content in textual form. Each poem is labeled with one of six emotional classes: Anger, Disgust, Fear, Joy, Neutral, and Sadness. This classification enables the development and testing of models for sentiment analysis, emotional understanding, and literary studies. The dataset is designed to provide a diverse range of poetic expressions, making it a valuable resource for machine learning researchers and computational linguists interested in emotion detection and the nuances of poetic language.
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