Best Practices for Text Classification with Deep Learning
Last Updated on August 24, 2020
Text classification describes a general class of problems such as predicting the sentiment of tweets and movie reviews, as well as classifying email as spam or not.
Deep learning methods are proving very good at text classification, achieving state-of-the-art results on a suite of standard academic benchmark problems.
In this post, you will discover some best practices to consider when developing deep learning models for text classification.
After reading this post, you will know:
- The general combination of deep learning methods to consider when starting your text classification problems.
- The first architecture to try with specific advice on how to configure hyperparameters.
- That deeper networks may be the future of the field in terms of flexibility and capability.
Kick-start your project with my new book Deep Learning for Natural Language Processing, including step-by-step tutorials and the Python source code files for all examples.
Let’s get started.
Best Practices for Document Classification with Deep Learning
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