Text Classification with Python: Build and Compare Three Text Classifiers

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) datacamp.pxf.io/pythonology ------------------------ Text Classification Dataset www.kaggle.com/datasets/team-ai/spam-text-message-… ------------------------ Check my website for Python projects: pythonology.eu/

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• #text_classification
• #nlp
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• #text_analysis
• #text_analysis_with_python
• #scikit_learn_tutorial