Clusters to Terms Mapping

>>> from techminer2.packages.networks.co_occurrence.index_keywords import ClustersToTermsMapping
>>> mapping = (
...     ClustersToTermsMapping()
...     #
...     # 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)
{0: ['FINANCE 10:1866',
     'FINANCIAL_SERVICE 05:1115',
     'COMMERCE 03:0846',
     'SUSTAINABLE_DEVELOPMENT 03:0227',
     'BLOCKCHAIN 02:0736',
     'FINANCIAL_SERVICES_INDUSTRIES 02:0696',
     'DEVELOPING_COUNTRIES 02:0248'],
 1: ['INVESTMENT 02:0418',
     'FINANCIAL_SYSTEM 02:0385',
     'PERCEIVED_USEFULNESS 02:0346',
     'CYBER_SECURITY 02:0342',
     'DESIGN_METHODOLOGY_APPROACH 02:0329',
     'SALES 02:0329'],
 2: ['FINTECH 10:1412',
     'ELECTRONIC_MONEY 03:0305',
     'FINANCIAL_INSTITUTION 02:0262',
     'INFORMATION_SYSTEMS 02:0235'],
 3: ['SURVEYS 03:0484',
     'FINANCIAL_INDUSTRIES 02:0323',
     'SECURITY_AND_PRIVACY 02:0323']}