Clusters to Terms Mapping

Example

>>> from techminer2.packages.networks.co_occurrence.descriptors 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("examples/fintech/")
...     .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: ['FINTECH 38:6131',
     'THE_FINANCIAL_INDUSTRY 09:2006',
     'BANKS 08:1049',
     'DATA 07:1086',
     'CONSUMERS 07:0925',
     'PRACTITIONER 06:1194',
     'THE_IMPACT 06:0908',
     'THE_FINANCIAL_SECTOR 05:1147',
     'INFORMATION_TECHNOLOGY 05:1101',
     'FINTECH_COMPANIES 05:1072'],
 1: ['TECHNOLOGIES 15:1633',
     'FINANCIAL_TECHNOLOGIES 12:1615',
     'FINANCE 10:1188',
     'THE_DEVELOPMENT 09:1293',
     'INNOVATION 08:1816',
     'REGULATORS 08:0974',
     'THE_FINANCIAL_SERVICES_INDUSTRY 06:1237',
     'FINANCIAL_SERVICES 06:1116',
     'SERVICES 06:1089',
     'CHINA 06:0673']}