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topic_modelling / funcs

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Allowed for uploading custom regex for cleaning. Fixed calculate all probabilities, reduce outliers. Added text tree for hierarchical modelling.

381f959 about 1 year ago

__init__.py

0 Bytes

first commit about 1 year ago
anonymiser.py

10.2 kB

Added clean data options, improved re-representation options and visualisation. General format changes about 1 year ago
bertopic_hierarchical_documents.py

15.4 kB

Changed Phi model to smaller StableLM 2 1.6. Fixed a None type detection error. about 1 year ago
bertopic_hierarchical_documents_to_df.py

12.2 kB

Changed Phi model to smaller StableLM 2 1.6. Fixed a None type detection error. about 1 year ago
bertopic_vis_documents.py

30.5 kB

Allowed for loading in external topic labels. A few visualisation modifications. about 1 year ago
clean_funcs.py

5.42 kB

Allowed for uploading custom regex for cleaning. Fixed calculate all probabilities, reduce outliers. Added text tree for hierarchical modelling. about 1 year ago
embeddings.py

2.54 kB

Hopefully now LLM download from hub should work about 1 year ago
helper_functions.py

9.89 kB

Allowed for uploading custom regex for cleaning. Fixed calculate all probabilities, reduce outliers. Added text tree for hierarchical modelling. about 1 year ago
presidio_analyzer_custom.py

4.18 kB

Added clean data options, improved re-representation options and visualisation. General format changes about 1 year ago
prompts.py

4.86 kB

Model export changed to safetensors. Improved representational model function. Got zero shot topic modelling working about 1 year ago
representation_model.py

6.74 kB

Hopefully now LLM download from hub should work about 1 year ago
topic_core_funcs.py

22.9 kB

Allowed for uploading custom regex for cleaning. Fixed calculate all probabilities, reduce outliers. Added text tree for hierarchical modelling. about 1 year ago