Stemming Field with ANDΒΆ
Example
>>> # Creates, configures, and runs the extractor
>>> from techminer2.database.extractors import StemmingAndExtractor
>>> terms = (
... StemmingAndExtractor()
... #
... # FIELD:
... .with_field("raw_author_keywords")
... #
... # SEARCH:
... .having_pattern(
... [
... "financial technology",
... "artificial intelligence",
... ],
... )
... #
... # DATABASE:
... .where_root_directory_is("examples/fintech/")
... .where_database_is("main")
... .where_record_years_range_is(None, None)
... .where_record_citations_range_is(None, None)
... #
... .run()
... )
>>> # Print the first 10 extracted terms
>>> from pprint import pprint
>>> pprint(terms[:10])
['ARTIFICIAL_INTELLIGENCE',
'FINANCIAL_TECHNOLOGY',
'FINANCIAL_TECHNOLOGY (FINTECH)']