Text Analysis with Topic Models for the Humanities and Social Sciences
Text Analysis with Topic Models for the Humanities and Social Sciences (TAToM) consists of a series of tutorials covering basic procedures in quantitative text analysis. The tutorials cover the preparation of a text corpus for analysis and the exploration of a collection of texts using topic models and machine learning.
These tutorials cover basic as well as somewhat advanced procedures and make extensive use of the Python programming language to organize, analyze, and visualize data.
For more detail go to their website.
Subscribe to:
Post Comments (Atom)
-
Step 1. Install Oracle XE 11g 1. Download Oracle XE (oracle-xe-11.2.0-1.0.x86_64.rpm.zip) from Oracle official website. You need an accoun...
-
I used the following method to hide the extra long column contents when loading the page. The contents will then display when mouse hover th... -
When you use ```datatables.min.css``` and ```datatables.min.js``` locally, instead of datatables CDN, you may have encountered that ```sort...
No comments:
Post a Comment