7.00.02 - Sentiment Extraction Functions - Aster Analytics

Teradata Aster® Analytics Foundation User GuideUpdate 2

Product
Aster Analytics
Release Number
7.00.02
Published
September 2017
Content Type
Programming Reference
User Guide
Publication ID
B700-1022-700K
Language
English (United States)
Last Update
2018-04-17

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.