
This model classifies whether a tweet is clickbait or not. It has been trained using [Webis-Clickbait-17](https://webis.de/data/webis-clickbait-17.html) dataset. Input is composed of 'postText'. Achieved ~0.7 F1-score on test data. 

In order to test this model, try a tweet on the right!
{"language": ["eng"], "license": "apache-2.0", "tags": ["Tweet", "Twitter", "Clickbait", "Spam"], "datasets": ["Webis-Clickbait-17"], "widget": [{"text": "In just 4 days you can increase your net worth."}, {"text": "Nasa aborts second attempt to launch giant Moon rocket"}, {"text": "The most successful people do these 18 things next Tuesday."}, {"text": "Two guns used in shooting that killed nine-year-old"}]}
transformers pytorch roberta text-classification Tweet Twitter Clickbait Spam eng dataset:Webis-Clickbait-17 license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #roberta #text-classification #Tweet #Twitter #Clickbait #Spam #eng #dataset-Webis-Clickbait-17 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 


This model classifies whether a tweet is clickbait or not. It has been trained using Webis-Clickbait-17 dataset. Input is composed of 'postText'. Achieved ~0.7 F1-score on test data. 

In order to test this model, try a tweet on the right!
TAGS
#transformers #pytorch #roberta #text-classification #Tweet #Twitter #Clickbait #Spam #eng #dataset-Webis-Clickbait-17 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #roberta #text-classification #Tweet #Twitter #Clickbait #Spam #eng #dataset-Webis-Clickbait-17 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
