Kawser Irom Rushee
ABSTRACT
Online news is incredibly popular these days because of the growth of the Internet and web expansion. At the same time, it is dynamic and chaotic on many levels, thus it gives an interesting research opportunity for the prediction of online news popularity. ANN (Artificial Neural Network) was used in this paper on a online news popularity based dataset. The goal was to increase prediction accuracy using deep learning. Dataset was preprocessed to use for a multiclass classification. The model was created with appropriate features needed and it produced more than 96 percent accuracy. Moreover, the false negative value of each multiclass was very low and precision, recall, and f1 score was high in our proposed model. All the results were discussed for the prediction model. This can help the online news authors to increase their news popularity.
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Index Terms
- Prediction of Online News Popularity using ANN Deep Learning
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