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Emotion classification for short texts: an improved multi-label method

Computer Science

Emotion classification for short texts: an improved multi-label method

X. Liu, T. Shi, et al.

Discover how Xuan Liu and colleagues have revolutionized multi-label emotion classification for short texts like tweets. Their cutting-edge MLkNN classifier leverages in-sentence, adjacent sentence, and full-text features for unparalleled accuracy and recall. Dive into the iterative correction methods that drive their findings!

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~3 min • Beginner • English
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Citations
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Influential Citations
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Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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