# Text Data Processing

(Last updated: Jan 29, 2025)[^credit]

[^credit]: Credit: this teaching material is created by [Robert van Straten](https://github.com/robertvanstraten) under the supervision of [Yen-Chia Hsu](https://github.com/yenchiah).

All the content in this repository is licensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). This module is about processing text data and has the following learning goals:

- **Goal 1**: Apply the methods of text processing to large amounts of text data.
- **Goal 2**: Preprocess text data, including tokenization, part-of-speech tagging, stemming/lemmatization, and stopword removal.
- **Goal 3**: Extract features from text data, including topic modeling and word embeddings.
- **Goal 4**: Reflect on how to select and tune the text processing pipeline for topic classification.

## Table of Contents

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