Update README.md

README.md

@@ -6,11 +6,15 @@ tags:
 - English
 - Tweets
 - Sentiment analysis
+widget:
+- text: "I really wish I could leave my house after midnight, this makes no sense!"
 ---
 
 # Measuring Shifts in Attitudes Towards COVID-19 Measures in Belgium Using Multilingual BERT
 [Blog post »](https://people.cs.kuleuven.be/~pieter.delobelle/attitudes-towards-covid-19-measures/?utm_source=huggingface&utm_medium=social&utm_campaign=corona_tweets)   · [paper »](http://arxiv.org/abs/2104.09947)
 
+This model can be used to determine if a tweet expresses support or not for a curfew. The model was trained on manually labeled tweets from Belgium in Dutch, French and English. 
+
 We categorized several months worth of these Tweets by topic (government COVID measure) and opinion expressed. Below is a timeline of the relative number of Tweets on the curfew topic (middle) and the fraction of those Tweets that find the curfew too strict, too loose, or a suitable measure (bottom), with the number of daily cases in Belgium to give context on the pandemic situation (top).
 
 ![chart.png](https://github.com/iPieter/bert-corona-tweets/raw/master/chart.png)