Rule-based sentiment analysis refers to a type of sentiment analysis based on an algorithm that clearly defines the opinion. This includes subjectivity, subject, or subjectivity of the opinion.

However, sentiment analysis is also being used in unexpected ways. In what could be a game-changer for marketers, the power of these algorithms can be brought to bear on a range of predictive tasks.

Sentiment analysis is a technique used to figure out the emotional tone behind words. It tells you whether someone’s opinion is positive, negative, or neutral. Sentiment analysis helps machines sense ...

The Algorithms That Tell Bosses How Employees Are Feeling Sentiment-analysis software can help companies figure out what’s bothering workers—or what they’re excited about.

Artificial Intelligence is leveling the playing field for retail investors, bringing once-exclusive trading tools into ...

Intel used a standard training and inference approach in developing its sentiment analysis algorithm. Unlabeled text documents were used in the training phase for a particular “target” domain. The ...

advertisement 09-18-2009 TECH Market Research 3.0 Is Here: Attitudes Meet Algorithms in Sentiment Analysis This is the marketer’s and researcher’s dream.

The sentiment analysis algorithm the researchers used was able to identify eight emotions in novels: trust, joy, sadness, fear, surprise, anger, and disgust.