Clusters to Terms Mapping

>>> from techminer2.co_occurrence_network import clusters_to_terms_mapping
>>> mapping = clusters_to_terms_mapping(
...     #
...     # PARAMS:
...     field='author_keywords',
...     retain_counters=True,
...     #
...     # COLUMN PARAMS:
...     top_n=20,
...     occ_range=(None, None),
...     gc_range=(None, None),
...     custom_terms=None,
...     #
...     # NETWORK PARAMS:
...     algorithm_or_dict="louvain",
...     association_index="association",
...     #
...     # DATABASE PARAMS:
...     root_dir="example/",
...     database="main",
...     year_filter=(None, None),
...     cited_by_filter=(None, None),
... )
>>> from pprint import pprint
>>> pprint(mapping)
{0: ['FINTECH 31:5168',
     'FINANCIAL_INCLUSION 03:0590',
     'CROWDFUNDING 03:0335',
     'BUSINESS_MODELS 02:0759',
     'CYBER_SECURITY 02:0342',
     'CASE_STUDY 02:0340',
     'BLOCKCHAIN 02:0305',
     'REGTECH 02:0266'],
 1: ['INNOVATION 07:0911',
     'FINANCIAL_SERVICES 04:0667',
     'FINANCIAL_TECHNOLOGY 03:0461',
     'TECHNOLOGY 02:0310',
     'BANKING 02:0291'],
 2: ['MARKETPLACE_LENDING 03:0317',
     'LENDINGCLUB 02:0253',
     'PEER_TO_PEER_LENDING 02:0253',
     'SHADOW_BANKING 02:0253'],
 3: ['ARTIFICIAL_INTELLIGENCE 02:0327', 'FINANCE 02:0309', 'ROBOTS 02:0289']}