Update README.md

README.md

@@ -9,7 +9,9 @@ pipeline_tag: text-classification
 # saxa3-capstone
 
 This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model. 
-BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets. 
+BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
+This text-classification model was modeled from The Department of Veterans Affairs Advisory Committee on Women Veterans biennial reports, from
+a period of 1996 - 2020. It was specifically generated from recommendations used within each of the reports. 
 
 ## Usage 
 
@@ -33,14 +35,7 @@ topic_model.get_topic_info()
 * Number of topics: 24
 * Number of training documents: 1602
 
-<details>
-  <summary>Click here for an overview of all topics.</summary>
-  
-  | Topic ID | Topic Keywords | Topic Frequency | Label | 
-|----------|----------------|-----------------|-------| 
-| -1 | medical - advisory - outreach - health - employment | 196 | -1_medical_advisory_outreach_health |
-  
-</details>
+
 
 ## Training hyperparameters