We feel for you
Sentiment is the attitudes, opinions, and emotions of a person towards a person, place, thing, other entity, or entire body of text in a document. It identifies subjective impressions, not facts. Rosette analyzes this text to determine where on a scale from positive to negative the sentiment lies subjectively.
Here, a document is a single body of text that expresses sentiment towards one thing. It could be a review of a film or a political editorial. The latest “awesome new movie” is positive, but the recent “disastrous political scandal” has a negative sentiment. A weather forecast calling for “a chance of meatballs” is simply neutral.
What if the film review covers several movies? Which movies were more positively received than the others? Here, Rosette applies entity extraction to identify the movies and determines the sentiment for each one by relating the sentiment in the review to each entity.
What is it used for?
Sentiment analysis is widely applied to reviews and social media for a variety of applications:
- Buyer satisfaction and product recommendations
- Call centers and support communities
- HR systems to predict employee churn
- National security to monitor signals for threat or risk
- Financial risk and volatility management
- Political polling and election predictions
- Market trends and disruptions