Sentiment analysis

Sentiment analysis determines whether the analyzed text expresses a negative, positive, or neutral opinion. By analyzing the content of a text sample, it is possible to estimate the emotional state of the author of the text and the effect that author wants to have on the readers. Sentiment analysis on Pega Platform is achieved by means of lexicons and sentiment models.

• Lexicons - Lexicons of words and their associated sentiment. By identifying the sentiments of the individual words or phrases, it is possible to estimate the general sentiment of a text unit. Lexicons are defined for each supported language separately and stored as decision data records.
• Sentiment models - Contain algorithms that can act on words, phrases, sentences, or the whole text.

Each sentence that undergoes sentiment analysis is assigned a sentiment score between -1 and 1. The individual scores of all sentences are used to calculate the overall sentiment of the text unit. You can specify the score range for the positive, negative, and neutral sentiment.

Open topic with navigation