Hello,
From selected rows in a table, how can one extract and rank words/phrases based on how often they occur?
Here's an example: http://developer.yahoo.com/search/content/V1/termExtraction.html
INPUT:
CREATE TABLE phrases (
id BIGSERIAL,
INSERT INTO phrases (phrase) VALUES (‘Italian sculptors and painters of the renaissance favored the Virgin Mary for inspiration.’)
INSERT INTO phrases (phrase) VALUES (‘Andrea Bolgi was an italian sculptor’)
OUTPUT:
phrase | weight
italian sculptor | 5
virgin mary | 2
painters | 1
renaissance | 1
inspiration | 1
Andrea Bolgi | 1
Some notes:
* phrases could contain “stop words”, e.g. “easy to answer”
* ideally, english language variations and synonyms would be automatically grouped.
I understand one might use postgresql’s full text search support, and maybe pg_trgm, but how exactly?
CREATE TABLE phrases (
id BIGSERIAL,
phrase VARCHAR(10000)
);INSERT INTO phrases (phrase) VALUES (‘Italian sculptors and painters of the renaissance favored the Virgin Mary for inspiration.’)
INSERT INTO phrases (phrase) VALUES (‘Andrea Bolgi was an italian sculptor’)
OUTPUT:
phrase | weight
italian sculptor | 5
virgin mary | 2
painters | 1
renaissance | 1
inspiration | 1
Andrea Bolgi | 1
Some notes:
* phrases could contain “stop words”, e.g. “easy to answer”
* ideally, english language variations and synonyms would be automatically grouped.
I understand one might use postgresql’s full text search support, and maybe pg_trgm, but how exactly?
Thanks
