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Text Analysis
An option to the full-text index (3/3)
The following steps may be executed on unstructured text to augment
full-text indexing:
Part-of-Speech
Tags word categories
Examples:
quick
: Adj;
houses
: Nn-Pl
Noun groups
Identifies concepts
Examples:
text data
;
global piracy
Entity extraction
Classifies pre-defined entity types
Examples:
Winston Churchill
: PERSON;
U.K
.: COUNTRY;
Fact extraction
Relates entities – e.g., classifies sentiments with topics
Example:
I love SAP HANA
:
[Sentiment]
I
[StrongPositiveSentiment]
love
[/StrongPositiveSentiment]
[Topic]
SAP HANA
[/Topic].[/Sentiment]