Exploring different types of LSTMs

Recently, We have worked on an interesting Project, in which, we have explored the Sentiment Analysis for the Movie Reviews Dataset from Kaggle using different types of LSTMs and achieved good accuracies respectively. Long Short Term Memory Networks are a special kind of RNNs, capable of learning long-term dependencies. We have worked on Sentiment Analysis for Movie Reviews dataset. As we can see the data has four columns, in which the Phrase column has the reviews provided by the users and for which the respective Sentiment column is divided into five categories i.e., from '0'(very bad) to '4'(very good), as shown below: Now, as we have got an idea about the dataset, we can go with Preprocessing of the dataset. After the preprocessing is completed, we split the data into train and test datasets.