practical-nlp/practical-nlp-code
Companion code repository for the O'Reilly book 'Practical Natural Language Processing' with TensorFlow-based notebooks for building real-world NLP systems.
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This repository contains Jupyter notebooks demonstrating NLP system development using TensorFlow. It covers fundamental techniques including sentiment analysis, text classification, sequence modeling, and language understanding pipelines. The code examples span preprocessing, feature engineering, model training, and evaluation workflows for practical NLP applications.
Frequently asked
- What is practical-nlp/practical-nlp-code?
- Companion code repository for the O'Reilly book 'Practical Natural Language Processing' with TensorFlow-based notebooks for building real-world NLP systems.
- Is practical-nlp-code open source?
- Yes — practical-nlp/practical-nlp-code is open source, released under the MIT license.
- What language is practical-nlp-code written in?
- practical-nlp/practical-nlp-code is primarily written in Jupyter Notebook.
- How popular is practical-nlp-code?
- practical-nlp/practical-nlp-code has 1.5k stars on GitHub.
- Where can I find practical-nlp-code?
- practical-nlp/practical-nlp-code is on GitHub at https://github.com/practical-nlp/practical-nlp-code.