Master LLMs with our FREE course in collaboration with Activeloop & Intel Disruptor Initiative. Join now!


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

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

Last Updated on July 17, 2023 by Editorial Team

Author(s): Chetan Ambi

Originally published on Towards AI.

Bag of Words model

Image by author

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.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI

Feedback ↓