Develop Fake News Classifier using LSTM

This article will explain the concept to identify fake news. We use Deep Learning to classify a set of articles into'fake' and'real' news classes. The data set contains three CSV files which are train, test, and submit files. Now reset the index because we remove the nan values. Data pre-processing because the data have different characters, special characters, spaces and words that are not important. For that we can remove them with stopwords.