Last Updated on July 17, 2023 by Editorial Team
Author(s): Chetan Ambi
Originally published on Towards AI.
Bag of Words model
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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