Description
SAS Sentiment Analysis uses a combination of statistical and linguistic rules to identify positive, negative, neutral, or unclassified opinions from unstructured text data. Multi-level taxonomies can now be defined, so that sentiment can be derived for the overall document, a concept in the document (such as a brand or product), an attribute or feature of the product, and characteristics of features – with different linguistic rules defined for each level.