From 7f0bead600af939a8adb7f52ebdd668a7703d63f Mon Sep 17 00:00:00 2001
From: Yelyzaveta Losieva <36056528+ElizaLo@users.noreply.github.com>
Date: Mon, 25 Nov 2024 20:17:32 +0200
Subject: [PATCH] Update README.md

---
 Topic Modeling/README.md | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/Topic Modeling/README.md b/Topic Modeling/README.md
index bc523bc..63108f4 100644
--- a/Topic Modeling/README.md	
+++ b/Topic Modeling/README.md	
@@ -20,11 +20,14 @@ Topic modelling is an unsupervised machine learning method that **helps us disco
 - **Sepervised or semi-supervised**
 	- Guided Latent Dirichlet Allocation (Guided LDA)
 	- Anchored CorEx: Hierarchical Topic Modeling with Minimal Domain Knowledge (CorEx)
+ - [BERTopic](https://maartengr.github.io/BERTopic/index.html)
 
 
 > Dataset for this task:
   > - [A Million News Headlines](https://www.kaggle.com/therohk/million-headlines) - News headlines published over a period of 18 Years 
   
+
+
 ## Papers
 
 - [Latent Dirichlet Allocation (LDA) and Topic modeling: models, applications, a survey](https://paperswithcode.com/paper/171104305/review/)