Terms to Cluster Mapping

>>> from techminer2.packages.networks.co_occurrence.index_keywords import TermsToClustersMapping
>>> mapping = (
...     TermsToClustersMapping()
...     #
...     # FIELD:
...     .having_terms_in_top(20)
...     .having_terms_ordered_by("OCC")
...     .having_term_occurrences_between(None, None)
...     .having_term_citations_between(None, None)
...     .having_terms_in(None)
...     #
...     # COUNTERS:
...     .using_term_counters(True)
...     #
...     # NETWORK:
...     .using_clustering_algorithm_or_dict("louvain")
...     .using_association_index("association")
...     #
...     # DATABASE:
...     .where_root_directory_is("example/")
...     .where_database_is("main")
...     .where_record_years_range_is(None, None)
...     .where_record_citations_range_is(None, None)
...     .where_records_match(None)
...     #
...     .run()
... )
>>> from pprint import pprint
>>> pprint(mapping)
{'BLOCKCHAIN 02:0736': 0,
 'COMMERCE 03:0846': 0,
 'CYBER_SECURITY 02:0342': 1,
 'DESIGN_METHODOLOGY_APPROACH 02:0329': 1,
 'DEVELOPING_COUNTRIES 02:0248': 0,
 'ELECTRONIC_MONEY 03:0305': 2,
 'FINANCE 10:1866': 0,
 'FINANCIAL_INDUSTRIES 02:0323': 3,
 'FINANCIAL_INSTITUTION 02:0262': 2,
 'FINANCIAL_SERVICE 05:1115': 0,
 'FINANCIAL_SERVICES_INDUSTRIES 02:0696': 0,
 'FINANCIAL_SYSTEM 02:0385': 1,
 'FINTECH 10:1412': 2,
 'INFORMATION_SYSTEMS 02:0235': 2,
 'INVESTMENT 02:0418': 1,
 'PERCEIVED_USEFULNESS 02:0346': 1,
 'SALES 02:0329': 1,
 'SECURITY_AND_PRIVACY 02:0323': 3,
 'SURVEYS 03:0484': 3,
 'SUSTAINABLE_DEVELOPMENT 03:0227': 0}

>>> mapping = (
...     TermsToClustersMapping()
...     #
...     # FIELD:
...     .having_terms_in_top(20)
...     .having_terms_ordered_by("OCC")
...     .having_term_occurrences_between(None, None)
...     .having_term_citations_between(None, None)
...     .having_terms_in(None)
...     #
...     # COUNTERS:
...     .using_term_counters(False)
...     #
...     # NETWORK:
...     .using_clustering_algorithm_or_dict("louvain")
...     .using_association_index("association")
...     #
...     # DATABASE:
...     .where_root_directory_is("example/")
...     .where_database_is("main")
...     .where_record_years_range_is(None, None)
...     .where_record_citations_range_is(None, None)
...     .where_records_match(None)
...     #
...     .run()
... )
>>> from pprint import pprint
>>> pprint(mapping)
{'BLOCKCHAIN': 0,
 'COMMERCE': 0,
 'CYBER_SECURITY': 1,
 'DESIGN_METHODOLOGY_APPROACH': 1,
 'DEVELOPING_COUNTRIES': 0,
 'ELECTRONIC_MONEY': 2,
 'FINANCE': 0,
 'FINANCIAL_INDUSTRIES': 3,
 'FINANCIAL_INSTITUTION': 2,
 'FINANCIAL_SERVICE': 0,
 'FINANCIAL_SERVICES_INDUSTRIES': 0,
 'FINANCIAL_SYSTEM': 1,
 'FINTECH': 2,
 'INFORMATION_SYSTEMS': 2,
 'INVESTMENT': 1,
 'PERCEIVED_USEFULNESS': 1,
 'SALES': 1,
 'SECURITY_AND_PRIVACY': 3,
 'SURVEYS': 3,
 'SUSTAINABLE_DEVELOPMENT': 0}