dbamman/anlp19
A UC Berkeley course repository with Jupyter notebooks for Applied NLP covering classification, embeddings, and statistical testing.
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This repository contains course materials for an Applied Natural Language Processing class taught at UC Berkeley in Spring 2019. The materials include Jupyter notebooks covering text classification, sentiment analysis using dictionaries and word embeddings, distributional similarity methods, tokenization experiments, regularization for regression, and hypothesis testing. It serves as a practical introduction to NLP techniques and statistical evaluation methods.
Frequently asked
- What is dbamman/anlp19?
- A UC Berkeley course repository with Jupyter notebooks for Applied NLP covering classification, embeddings, and statistical testing.
- Is anlp19 open source?
- Yes — dbamman/anlp19 is an open-source project tracked on heatdrop.
- What language is anlp19 written in?
- dbamman/anlp19 is primarily written in Jupyter Notebook.
- How popular is anlp19?
- dbamman/anlp19 has 407 stars on GitHub.
- Where can I find anlp19?
- dbamman/anlp19 is on GitHub at https://github.com/dbamman/anlp19.