The model is described in the following paper:
Using Neural Network for Identifying Clickbaits in Online News Media
https://arxiv.org/abs/1806.07713 or https://link.springer.com/chapter/10.1007/978-3-030-11680-4_22
The Albacore Clickbait Detector
- Please create a folder with the name "data" and extract the Clickbait Challenge dataset in it.
- Download glove embedding vectors from http://nlp.stanford.edu/data/glove.6B.zip and put them in the data folder. Your data folder should look like the following picture.
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Put the available codes beside the data folder.
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MyModelTraining2optimisey.py: This file will create bi-directional GRU models with different values for hyperparameters and store the accuracy of each model.
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MyModelTraining2.py: this code will create a bi-directional GRU model with the best value for its hyperparameters in terms of mean squared error and train it on all the available data.