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.
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Datacamp: The best online resource to learn Python, Web Scraping, Data analysis, and Data Science (Affiliate link)
https://datacamp.pxf.io/pythonology
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Text Classification Dataset
https://www.kaggle.com/datasets/team-ai/spam-text-message-classification
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Check my website for Python projects:
https://pythonology.eu

Тэги:

#text_classification #nlp #natural_language_processing #text_analysis #text_analysis_with_python #scikit-learn_tutorial

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