Build a Text Classification Model with Deep Learning

Description: In this project, we will build a deep learning model to classify text documents into different categories. We will use the popular TensorFlow library to build and train the model. Step 1: First, let's import the necessary libraries and load the text data into a Pandas DataFrame. Step 2: Next, let's split the data into training and test sets and create a tokenizer to convert the text into numerical sequences. Step 3: Now, let's use the tokenizer to convert the text into numerical sequences and pad the sequences to the same length.