Here you will find the teaching materials for the "Fundamentals of Text Processing for User Generated Content" hands-on session at the Data Science Summer School hosted by École Polytechnique and the DATAIA Institute.
The course is designed as an introduction to the basics of natural language processing for analyzing unstructured, user-generated content. It is for beginners to the topic (and NLP in general), but it will be helpful to have basic knowledge of Python and a familarity with data science techniques.
Topics covered include:
- text preprocessing in Python,
- collecting your own data from Twitter and Reddit,
- content analysis,
- text embeddings, and
- supervised learning with text data.
The slides can be found here. They mostly serve as a high-level introduction to the examples and exercies (in Colab notebooks), which are linked to from the slides themselves. Copies of the Colab notebooks can also be found in the folder called /colab in this repository.
If you didn't attend the tutorial, you can certainly work through the materials on your own (the Colab notebooks are designed to be readable and doable for individuals working at their own pace). The slides will guide you through the content. The notebooks are intendend to be worked through in order. Each one will have examples to view and 1 or 2 practice exercises to complete (with sample solutions).