International Journal for Research in Applied Science & Engineering Technology (IJRASET)

ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 7.538

Volume 11 Issue III Mar 2023- Available at www.ijraset.com

As we know, accuracy with test data should be considered when choosing the best algorithm because accuracywith train data only indicates how well the training data is fit to our model, whereas accuracy with test data indicates the model’s ability to predict on new inputs. As a result, basedon observations, the deep learning-based GloVe model, with anaccuracy of 82.55 percent, which uses the bi-directional LSTMalgorithm as one of its layers within the designed model, is chosen to be the best model among all.

Table I Accuracies

B. Making Predictions Using Completed Project

Once the best model was found, we used that model to create our prediction system, and the results of the completed project are shown below in figure 2 and 3.