Terms to Cluster Mapping

>>> from techminer2.co_occurrence_network import terms_to_clusters_mapping
>>> mapping = terms_to_clusters_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),
...     sort_by=None,
... )
>>> from pprint import pprint
>>> pprint(mapping)
{'ARTIFICIAL_INTELLIGENCE 02:0327': 3,
 'BANKING 02:0291': 1,
 'BLOCKCHAIN 02:0305': 0,
 'BUSINESS_MODELS 02:0759': 0,
 'CASE_STUDY 02:0340': 0,
 'CROWDFUNDING 03:0335': 0,
 'CYBER_SECURITY 02:0342': 0,
 'FINANCE 02:0309': 3,
 'FINANCIAL_INCLUSION 03:0590': 0,
 'FINANCIAL_SERVICES 04:0667': 1,
 'FINANCIAL_TECHNOLOGY 03:0461': 1,
 'FINTECH 31:5168': 0,
 'INNOVATION 07:0911': 1,
 'LENDINGCLUB 02:0253': 2,
 'MARKETPLACE_LENDING 03:0317': 2,
 'PEER_TO_PEER_LENDING 02:0253': 2,
 'REGTECH 02:0266': 0,
 'ROBOTS 02:0289': 3,
 'SHADOW_BANKING 02:0253': 2,
 'TECHNOLOGY 02:0310': 1}