Topic modelling for the GOBBYKID project

a Jupyter notebook (based on Melanie Walsh's tutorial on topic modelling) containing the code we are using and step-by-step explanations
the directory containing our dataset (sub-directories: male authors, female authors and male authors + female authors)
the directory containing the model training's output

Name		Name	Last commit message	Last commit date
Latest commit History 19 Commits
.idea		.idea
.ipynb_checkpoints		.ipynb_checkpoints
f_preprocess		f_preprocess
m_preprocess		m_preprocess
new_training_data		new_training_data
topic-model-output		topic-model-output
training_data		training_data
.gitattributes		.gitattributes
45_topic_keys.csv		45_topic_keys.csv
README.md		README.md
all_characters_file.txt		all_characters_file.txt
characters_from_full_corpus.csv		characters_from_full_corpus.csv
f_tabular_results.csv		f_tabular_results.csv
labelled_topics.csv		labelled_topics.csv
m_tabular_results.csv		m_tabular_results.csv
tm-gobbykid.ipynb		tm-gobbykid.ipynb
tm_process.ipynb		tm_process.ipynb
viz.ipynb		viz.ipynb
whole_balanced_corpus.csv		whole_balanced_corpus.csv

gobbykid/tm