2 different techniques are used for training the models on the given data. The code is self explanable. Load the datasets and train the model.
It uses it's own built in functions for easyness.
Different parameters give different results.
-
Notifications
You must be signed in to change notification settings - Fork 0
Fake News Detection model trained using BERT (Bidirectional Encoder Representations from Transformers) and LSTM (Long Short-Term Memory). The saved model can be used to predict user input news.
Haseeeb21/Fake-News-Detection
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Fake News Detection model trained using BERT (Bidirectional Encoder Representations from Transformers) and LSTM (Long Short-Term Memory). The saved model can be used to predict user input news.
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published