Merge branch 'main' into dynamic_keynmf

Author: x-tabdeveloping

README.md

@@ -12,8 +12,7 @@
  - Make the models' API streamlined and compatible with topicwizard and scikit-learn.
  - Develop smarter, transformer-based evaluation metrics.
 
-!!!This package is still a prototype, and no papers are published about the models. Until these are out, and most features are implemented
-I DO NOT recommend using this package for production and academic use!!!
+**Note**: This package is still work in progress and scientific papers on some of the novel methods (e.g., decomposition-based methods) are currently undergoing peer-review. If you use this package and you encounter any problem, let us know by opening relevant issues.
 
 ## Roadmap
  - [x] Model Implementation

turftopic/base.py

@@ -217,6 +217,7 @@ def _representative_docs(
             lowest = lowest[
                 np.argsort(document_topic_matrix[lowest, topic_id])
             ]
+            lowest = lowest[::-1]
             scores = document_topic_matrix[lowest, topic_id]
             for document_id, score in zip(lowest, scores):
                 doc = raw_documents[document_id]