Handling too much range in texts' length

Data Science Asked by junior N'nane on March 3, 2021

I have a classification problem where inputs are news article and target are topics. However, articles length are very varying from 100 words to 800! I’m using TfIdf and I think that it can puzzle the model.

What are techniques to deal with such imbalances?

methodology preprocessing text classification

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