1.1 - 8.10 - Sentiment Extraction Functions (ML Engine) - Teradata Vantage

Teradata Vantage™ - Machine Learning Engine Analytic Function Reference

Product
Teradata Vantage
Release Number
1.1
8.10
Release Date
October 2019
Content Type
Programming Reference
Publication ID
B700-4003-079K
Language
English (United States)

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

Function Description
SentimentTrainer (ML Engine) Trains model—takes training documents and outputs maximum entropy classification model.
SentimentExtractor (ML Engine) Uses either classification model or dictionary model to extract sentiment of each input document or sentence; that is, to output predictions.
SentimentEvaluator (ML Engine) Uses test data to evaluate precision and recall of predictions.

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