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seanpedrickcase
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topic_modelling
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e1c1f68
topic_modelling
3 contributors
History:
38 commits
Sonnyjim
Reduce outliers now more efficient and relabels with correct vectoriser. Default topic labels now tidier. Hiearchical topics outputs more useful for joining to df afterwards. Switched low resource reduction algorithm to UMAP as default is not good.
e1c1f68
5 months ago
.github
first commit
5 months ago
funcs
Reduce outliers now more efficient and relabels with correct vectoriser. Default topic labels now tidier. Hiearchical topics outputs more useful for joining to df afterwards. Switched low resource reduction algorithm to UMAP as default is not good.
5 months ago
.gitignore
212 Bytes
Upgraded to Gradio 4.16.0. Guide for converting to exe added.
5 months ago
Dockerfile
761 Bytes
first commit
5 months ago
LICENSE
11.6 kB
first commit
5 months ago
README.md
267 Bytes
Upgraded to Gradio 4.16.0. Guide for converting to exe added.
5 months ago
app.py
10.5 kB
Reduce outliers now more efficient and relabels with correct vectoriser. Default topic labels now tidier. Hiearchical topics outputs more useful for joining to df afterwards. Switched low resource reduction algorithm to UMAP as default is not good.
5 months ago
how_to_create_exe_dist.txt
1.89 kB
Upgraded to Gradio 4.16.0. Guide for converting to exe added.
5 months ago
requirements.txt
395 Bytes
Upgraded to Gradio 4.16.0. Guide for converting to exe added.
5 months ago