Text Classification with Python: Build and Compare Three Text Classifiers

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YouTube Excerpt: Text Classification involves assigning a label to a piece of text based on its content or context. In this tutorial we learn how to classify texts by building three text classifiers: LinearSVC, ComplementNB, and MultinomialNB, We will use Scikit-learn, and Kaggle and the datasets available there. ----------------------- Datacamp: The best online resource to learn Python, Web Scraping, Data analysis, and Data Science (Affiliate link) https://datacamp.pxf.io/pythonology ------------------------ Text Classification Dataset https://www.kaggle.com/datasets/team-ai/spam-text-message-classification ------------------------ Check my website for Python projects: https://pythonology.eu

Text Classification involves assigning a label to a piece of text based on its content or context. In this tutorial we learn how to classify texts...

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