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-...
------------------------
Check my website for Python projects:
pythonology.eu

[@anonymous-je7nb]

thank you for this video, i just got a project on this topic and i was beating my head on how to do it, bbut then i came across thuis video. Its been a very huge help. thank you so much🙏

[@lukecalvert4500]

Have a thumb my man, first one of these videos ive found showing how to do it without using imported data sets.

[@rahulpareek328]

Best channel to learn about python ❤️ Would be great if you can add some more videos related to web scraping- google reviews, ratings with multiple pages

[@Pythonology]

Thanks for your comment. I will add more tutorials on web scraping

[@rahulpareek328]

@@Pythonology thank you very much.. it would be great if you can cover up “load more” button which is there in page for scrapping

[@mjacfardk]

Thank you brother for great tutorial

[@JCDC510]

Hi! Thank you very much for the video! Do you have another video to explain what to do if you need to classify something with two or mor variables? For example a message that is "ham" & "Spam" at the same time?

[@fredii2025]

Do this works on single words or very short sentences as well?

[@nguyenthanhtrieu6529]

so good with long sentences

[@darkwingduckization]

Tried this in pycharm, but am getting the following error when creating "pipeMNB" : ValueError: np.nan is an invalid document, expected byte or unicode string. Anyone know how to fix this?

[@joaopedrogodinho]

There are probably empty values in your data column, you need to ignore these cases by applying some filters to your data frame

[@PANDURANG99]

will it work for my custom dada? Like I have Classification and sub Classification also. Sentence : I am going to school and play cricket. Classification : school and Sub Classification: Sports

[@PANDURANG99]

Have you tried to make lowercase all text?