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Slides and Jupyter Notebooks for the Computational Text Analysis at the Political Science Dept. University of Mannheim
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10th Lesson.gslides
10th-Lesson-Classification-and-Clustering.ipynb
11th Lesson.gslides
11th-Lesson-Clustering-and-Topic-Models.ipynb
12th Lesson.gslides
12th-Lesson-Information-Retrieval.ipynb
13th Lesson.gslides
1st-Lesson-Intro-To-Python.ipynb
2nd-Lesson-Scraping.ipynb
3rd-Lesson-Text-Proc-1.ipynb
4th-Lesson-Text-Proc-2.ipynb
5th-Lesson-Text-Proc-3.ipynb
6th-Lesson-Text-Proc-4.ipynb
7th-Lesson-Distr-Semantics.ipynb
8th Lesson.gslides
8th-Lesson-Text-Classification-1.ipynb
9th Lesson.gslides
9th-Lesson-Text-Classification-2.ipynb
Fifth Lesson.gslides
Fifth-Lesson-Text-Proc-3.ipynb
First Lesson.gslides
First-Lesson-Intro-To-Python.ipynb
Fourth Lesson.gslides
Fourth-Lesson-Text-Proc-2.ipynb
Second Lesson.gslides
Second-Lesson-Scraping.ipynb
Seventh Lesson.gslides
Seventh-Lesson-Distr-Semantics.ipynb
Sixth Lesson.gslides
Sixth-Lesson-Text-Proc-4.ipynb
Third Lesson.gslides
Third-Lesson-Text-Proc-1.ipynb
Twitter-Homework.ipynb
dataset.tsv
speech.txt
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