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Allows users to analyze text and classify emotions such as happiness, sadness, anger, fear, and neutrality. It combines text preprocessing, TF-IDF (Term Frequency-Inverse Document Frequency) feature extraction, and Random Forest classification to predict emotions and map them to corresponding emojis for enhanced sentiment visualization.
Package details |
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Author | Yusong Zhao [aut], Fangyi Wang [aut, cre], Zisheng Qu [aut] |
Maintainer | Fangyi Wang <123090550@link.cuhk.edu.cn> |
License | GPL-2 |
Version | 0.1.0 |
Package repository | View on CRAN |
Installation |
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