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kingabzpro/Malawi-News-Classification

Domain:

natural language processing

Record type:

project
Creator:
kin
Host:
Using text classifier to predict various categories in Malawi News articles using SMOTE and SGDClassifier. # Malawi-News-Classification Using text classifier to predict various categories in Malawi News articles using SMOTE and SGDClassifier. The project code is simple and effective on competitive grounds. I have experimented with Vectorizer, Porter stemmer for test preprocessing. I have also used multiple methods to clean my text to improved overall model performance. In the end, I have used SKlearn Stochastic Gradient Decent (SGD) classifier for predicting News categories. I have also experimented with various neural networks and gradient boosting models, but they all failed as simple logistics regression with minimum hyperparameter tunning works quite well on this data. > To understand the code read my article on Medium