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topic_modelling

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topic_modelling / funcs

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History: 38 commits

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seanpedrickcase

Improved initial clean options. Now has option to return embeddings only.

89c4d20 7 months ago

__init__.py

0 Bytes

first commit over 1 year ago
anonymiser.py

10.6 kB

App now retains original index following cleaning to allow for referring back to original data 8 months ago
auth.py

1.88 kB

Only aggregate topics not 'other', allowed for minimum sentence length, default max_topics now will auto aggregate topics. Added Cognito Auth functionality (boto3 with AWS). 10 months ago
bertopic_vis_documents.py

47.6 kB

Can split passages into sentences. Improved embedding, LLM representation models, improved zero shot capabilities 11 months ago
clean_funcs.py

6.54 kB

Improved initial clean options. Now has option to return embeddings only. 7 months ago
embeddings.py

3.37 kB

App now retains original index following cleaning to allow for referring back to original data 8 months ago
helper_functions.py

18.3 kB

App now retains original index following cleaning to allow for referring back to original data 8 months ago
presidio_analyzer_custom.py

4.18 kB

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

6.24 kB

Updated packages. Improve hierarchy vis. Better models - mixedbread and phi3. Now option to split texts into sentences before modelling. 12 months ago
representation_model.py

7.83 kB

Removed some requirements from Dockerfile for AWS deployment to reduce container size 10 months ago
topic_core_funcs.py

38.9 kB

Improved initial clean options. Now has option to return embeddings only. 7 months ago