Identify sentiment from emails.

The feature includes the sentiment output field that determines if the vocabulary used in the survey, is positive or negative and the degree of positivity or negativity. The sentiment value from surveys indicates the overall emotion. The magnitude of sentiment indicates how much emotional content is present within the email, and is often proportional to the length of the text. The natural language algorithm differentiates between positive and negative emotion in surveys, but doesn't identify specific positive and negative emotions. For example, angry and sad are both negative emotions. However, the sentiment classification only indicates that the text is negative, not sad, or angry.