Spacy's English large and medium size models are shipped with Glove word embeddings. In this tutorial, we will do news classification (fake vs real) using these word embeddings. We will train the Multinomial Naive Bayes classifier and KNN classifier to train the model and compare their performance.
Code: https://github.com/codebasics/nlp-tut...
Exercise: https://github.com/codebasics/nlp-tut...
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Dataset credit: https://www.kaggle.com/datasets/clmen...
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