Text Classification using Bag of Words and TF-IDF with TensorFlow

Author(s): Chetan Ambi

Originally published on Towards AI.

Bag of Words model

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Table of Contents

· Overview· Quick recap· Import libraries· Import dataset and EDA· Train test split · Text feature extraction· Model ∘ Bag of Words model ∘ TF-IDF model· Prediction· References

Text Classification is one of the most popular and widely used use-cases of Machine Learning and NLP (Natural Language Processing). It can be used to classify spam vs. non-spam emails, classify business documents into different categories, and sentiment analysis of Tweets, etc.

In this practical guide, you’ll understand how to use Bag of Words and TF-IDF for text classification with TensorFlow. The advanced text feature extraction methods, such Word2Vec, GloVe,… Read the full blog for free on Medium.

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Published via Towards AI