Project information

  • Category: Data Science
  • Tags: Python
  • Project URL: GitHub
  • Dataset: Kaggle

Sentiment Analysis

There are 83227 observations and 3 variables in the data set, which I received from Kaggle. This data comprises movie reviews, movie titles, and the emotions of the comments as points. I split the data set as 60% for training, 20% for the test, and 20% for validation. I create a Recurrent Neural Network to train the model with the help of Keras, which is the high-level API of TensorFlow 2. The accuracy of the model is 76.54%