v0.15 (MaartenGr#1291)

Prepare for v0.15 release by including changelog and many documentation updates.

v0.14.1 - ChatGPT support and improved Prompting (MaartenGr#1057)

v0.14 (MaartenGr#977)

* Add representation models
  * bertopic.representation.KeyBERTInspired
  * bertopic.representation.PartOfSpeech
  * bertopic.representation.MaximalMarginalRelevance
  * bertopic.representation.Cohere
  * bertopic.representation.OpenAI
  * bertopic.representation.TextGeneration
  * bertopic.representation.LangChain
  * bertopic.representation.ZeroShotClassification
* Fix topic selection when extracting repr docs
* Improve documentation, MaartenGr#769, MaartenGr#954, MaartenGr#912
* Add wordcloud example to documentation
* Add title param for each graph, MaartenGr#800
* Improved nr_topics procedure
* Fix MaartenGr#952, MaartenGr#903, MaartenGr#911, MaartenGr#965. Add MaartenGr#976

v0.13 (MaartenGr#840)

* Calculate topic distributions with .approximate_distribution regardless of the cluster model used
* Fully supervised topic modeling with BERTopic
* Manual topic modeling with BERTopic
* Reduce outliers with 4 different strategies using .reduce_outliers
* Install BERTopic without SentenceTransformers for a lightweight package
* Get metadata of trained documents such as topics and probabilities using .get_document_info(docs)
* Added more support for cuML's HDBSCAN
* More images to the documentation and a lot of changes/updates/clarifications
* Get representative documents for non-HDBSCAN models by comparing document and topic c-TF-IDF representations
* Sklearn Pipeline Embedder

v0.12 (MaartenGr#668)

* Online/incremental topic modeling with .partial_fit
* Expose c-TF-IDF model for customization with bertopic.vectorizers.ClassTfidfTransformer
* Expose attributes for easier access to internal data
* Major changes to the Algorithm page of the documentation, which now contains three overviews of the algorithm
* Added an example of combining BERTopic with KeyBERT
* Added many tests with the intention of making development a bit more stable
* Fix MaartenGr#632, MaartenGr#648, MaartenGr#673, MaartenGr#682, MaartenGr#667, MaartenGr#664

v0.11.0 (MaartenGr#578)

* Perform hierarchical topic modeling with `.hierarchical_topics`
* Visualize hierarchical topic representations with `.visualize_hierarchy`
* Extract a text-based hierarchical topic representation with `.get_topic_tree`
* Visualize 2D documents with `.visualize_documents()`
* Visualize 2D hierarchical documents with `.visualize_hierarchical_documents()`
* Create custom labels to the topics throughout most visualizations with `.generate_topic_labels` and `.set_topic_labels`
* Manually merge topics with `.merge_topics()`
* Added example for finding similar topics between two models in the tips & tricks page
* Add multi-modal example in the tips & tricks page
* Added native Hugging Face transformers support

v0.10.0 (MaartenGr#492)

* Use any dimensionality reduction technique instead of UMAP
* Use any clustering technique instead of HDBSCAN
* Add a CountVectorizer page with tips and tricks on how to create topic representations that fit your use case
* Added pages on how to use other dimensionality reduction and clustering algorithms
* Additional instructions on how to reduce outliers in the FAQ
* Fixed `None` being returned for probabilities when transforming unseen documents
* Replaced all instances of `arg:` with `Arguments:` for consistency
* Before saving a fitted BERTopic instance, we remove the stopwords in the fitted CountVectorizer model as it can get quite large due to the number of words that end in stopwords if `min_df` is set to a value larger than 1
* Set `"hdbscan>=0.8.28"` to prevent numpy issues
* Update gensim dependency to `>=4.0.0` (MaartenGr#371)
* Fix topic 0 not appearing in visualizations (MaartenGr#472)
* Fix MaartenGr#506
* Fix MaartenGr#429

v0.9.4 (MaartenGr#335)

* Expose diversity parameter
* Improve stability of topic reduction 
* Added property to c-TF-IDF that all IDF values are positive (MaartenGr#351)
* Improve stability of `.visualize_barchart()` and `.visualize_hierarchy()`
* Major documentation overhaul (including MaartenGr#330)
* Drop python 3.6 (MaartenGr#333)
* Relax plotly dependency (MaartenGr#88)
* Additional logging for `.transform` (MaartenGr#356)

v0.9.3 - Quickfix (MaartenGr#284)

* Fix MaartenGr#282, MaartenGr#285, MaartenGr#288

v0.9.2 (MaartenGr#239)

* Update default embedding model from 'paraphrase' to 'all'
* Fix probability mapping
* Optimize cTFIDF topic extraction
* Fix algorithm image, update documentation, fix spelling, etc.
* Fix MaartenGr#258
* Update README with visualization example