A scikit-learn based module for multi-label et. al. classification
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Updated
Feb 1, 2024 - Python
A scikit-learn based module for multi-label et. al. classification
A new maintained "successor" to scikit-multilearn, a scikit-learn based module for multi-label et. al. classification
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Multi-label data stratification with Scikit-multilearn.
A repository of my study about multilabel stratification and classification measures.
Emotion detection from social media texts using machine learning algorithms.
Jigsaw Toxic Comment Classification Challenge on Kaggle: https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge
Multi-label classification problem.
Multilabel text classification: multiple contexts in NLP
NLP project using SenticNet lexicon and TF-IDF for emotion classification (Joy, Sadness, Anger, etc.). Implements BRkNNa/BRkNNb classifiers with negation handling, 10-fold validation, and metrics like Hamming Loss/Macro F1. Ideal for social media/text analysis.
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