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.

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 ...

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 ...

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

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.

We use an automated sentiment analysis algorithm the emulates human affective common sense reasoning. Then we monitor Twitter, news, and other data sources to detect mentions of specific keywords ...

He incorporated Microsoft’s Deep Learning-based sentiment analysis algorithm to classify the tweets as positive, negative, or very negative in sentiment and tracked the likelihood that a ...