Sentiment analysis determines whether the opinion that the writer expressed in a piece of text is positive, neutral, or negative. Knowledge about customers' sentiments can be very important because customers often share their opinions, reactions, and attitudes toward products and services in social media or communicate directly through chat channels.

• Setting up a sentiment analysis model
• Preparing data for sentiment analysis
• Uploading data for training and testing of the sentiment analysis model
• Defining the training set and training the sentiment analysis model
• Reviewing the sentiment analysis model
• Saving the sentiment analysis model

• Analyzing natural language
• Text analytics accuracy measures
• Testing text analytics models