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This dataset includes multiple features such as tweet content, user name, user ID, etc., suitable for training models. The download size of the dataset is 2160 bytes, but the actual data size is 0 bytes.

This dataset contains over 1 million tweets crawled from Twitter. After filtering and processing, it retains multimodal text‑image data, extracts emojis and embedded text, resulting in a dataset with four modalities.

The SMILE Twitter Emotion dataset was created by Wang et al. in 2016 and contains tweets annotated with multiple emotions (e.g., happiness, anger, sadness), providing a rich resource for sentiment analysis tasks.