Natural Language Processing with TF-IDF

In this chapter, the following recipes will be covered:

• Downloading the therapy bot session text dataset
• Analyzing the therapy bot session dataset
• Visualizing word counts in the dataset
• Calculating sentiment analysis of text
• Removing stop words from the text
• Training the TF-IDF model
• Evaluating TF-IDF model performance
• Comparing model performance to a baseline score