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Structure of the result table:
TYPE
The Token Type, whether it is a “who”, a “what”, a
“where”, etc.
NORMALIZED
Stores a normalized representation of the token
STEM
Stores the linguistic stemming information, e.g. the
singular nominative for nouns, or the indicative for
verbs. If text analysis yields several stems, only the
first stem will be stored, assuming this to be the best
match.
PARAGRAPH
The paragraph number where my token is located in
the document
SENTENCE
The sentence number where my token is located in
the document
CREATED_AT
Creation timestamp
Implement Example
Steps to use text analysis in HANA(5/6)