ChasNelson1990
commented
4 years ago - [x] Determine most frequent 100 words over all text. Visualise as word cloud?
- [x] Determine most frequent 100 words over all single-author corpus. Visualise as word cloud?
- [x] Use PCA on term frequency matrices to separate authors in a many-author corpus.
- [x] Use WordNet (or similar) to get most common types of words used (see: https://github.com/JonathanReeve/course-computational-literary-analysis/blob/master/Resources/Notes-2018/08-WordNet.ipynb)
- [x] Use Term Frequency (for book or author) adjusted for inverse document frequency (from author or genre) (use https://github.com/JonathanReeve/course-computational-literary-analysis/blob/master/Resources/Notes-2018/10-Corpora-Scikit-Learn.ipynb as a starting point)
- [ ] Could also look at sentence tree averaging and common phrase structures, e.g. https://github.com/JonathanReeve/james-sentence/blob/master/sentence-diagramming.ipynb and https://github.com/JonathanReeve/james-sentence/blob/master/sentence-tree-averaging.ipynb