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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 about 19 hours ago

__init__.py

0 Bytes

first commit 10 months ago
anonymiser.py

10.6 kB

App now retains original index following cleaning to allow for referring back to original data about 2 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). 3 months ago
bertopic_vis_documents.py

47.6 kB

Can split passages into sentences. Improved embedding, LLM representation models, improved zero shot capabilities 5 months ago
clean_funcs.py

6.54 kB

Improved initial clean options. Now has option to return embeddings only. about 19 hours ago
embeddings.py

3.37 kB

App now retains original index following cleaning to allow for referring back to original data about 2 months ago
helper_functions.py

18.3 kB

App now retains original index following cleaning to allow for referring back to original data about 2 months ago
presidio_analyzer_custom.py

4.18 kB

Added clean data options, improved re-representation options and visualisation. General format changes 10 months 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. 5 months ago
representation_model.py

7.83 kB

Removed some requirements from Dockerfile for AWS deployment to reduce container size 3 months ago
topic_core_funcs.py

38.9 kB

Improved initial clean options. Now has option to return embeddings only. about 19 hours ago