7.00.02 - Sentiment Extraction Functions - Aster Analytics

Teradata Aster® Analytics Foundation User GuideUpdate 2

Aster Analytics
Release Number
September 2017
Content Type
Programming Reference
User Guide
Publication ID
English (United States)
Last Update

Sentiment extraction is the process of inferring user sentiment (positive, negative, or neutral) from text (typically call center logs, forums, and social media).

The sentiment extraction functions are:

  • TrainSentimentExtractor, which trains a model—takes training documents and outputs a maximum entropy classification model
  • ExtractSentiment, which uses either the classification model or a dictionary model to extract the sentiment of each input document or sentence; that is, to output predictions
  • EvaluateSentimentExtractor, which uses test data to evaluate the precision and recall of the predictions

The sentiment extraction functions support English, Simplified Chinese, and Traditional Chinese text.