8000 Tags · torgbuiedunyenyo/BERTopic · GitHub
[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to content

Tags: torgbuiedunyenyo/BERTopic

Tags

v0.3.1

Toggle v0.3.1's commit message

Verified

This commit was created on GitHub.com and signed with GitHub’s verified signature. The key has expired.
GPG key ID: 4AEE18F83AFDEB23
Expired
Verified
Learn about vigilant mode 
Update README.md

v0.3.0

Toggle v0.3.0's commit message

Verified

This commit was created on GitHub.com and signed with GitHub’s verified signature. The key has expired.
GPG key ID: 4AEE18F83AFDEB23
Expired
Verified
Learn about vigilant mode 
Added probability distributions (MaartenGr#9)

* Add topic probabilities (MaartenGr#8)
* Added visualization of topic probabilities
* Update documentation
* Remove logging for topic reduction

v0.2.3

Toggle v0.2.3's commit message

Verified

This commit was created on GitHub.com and signed with GitHub’s verified signature. The key has expired.
GPG key ID: 4AEE18F83AFDEB23
Expired
Verified
Learn about vigilant mode 
Fixed ngram + added stopwords (MaartenGr#6, MaartenGr#5)

* Fixed ngram and added stopwords
* Update pypi version

v0.2.1

Toggle v0.2.1's commit message

Verified

This commit was created on GitHub.com and signed with GitHub’s verified signature. The key has expired.
GPG key ID: 4AEE18F83AFDEB23
Expired
Verified
Learn about vigilant mode 
Fix package version (MaartenGr#3)

There were issues with the versions of the dependencies which resulted in poor clustering results. Fixed by reverting to the old versions.

v0.1.2

Toggle v0.1.2's commit message 
v0.1.2

* Fixed model missing self.mapped_topics
* Added logo
* Added google colab tutorials (alsof for gpu acceleration)

v0.1.1

Toggle v0.1.1's commit message 
v0.1.1

* Fixed requirements
* Update docs
* Update readme

v0.1.0

Toggle v0.1.0's commit message 
v0.1.0

* Added parameters for UMAP and HDBSCAN
* Option to choose sentence-transformer model
* Method for transforming unseen documents
* Save and load trained models (umap and hdbscan)
* Extract topics and their sizes
* Optimized c-TF-IDF
* Improved documentation
0