Terms by Cluster Summary

Example

>>> from techminer2.experimental.emergence import TermsByClusterSummary
>>> df = (
...     TermsByClusterSummary()
...     #
...     # EMERGENCE:
...     .using_baseline_periods(3)
...     .using_recent_periods(3)
...     .using_novelty_threshold(0.15)
...     .using_total_records_threshold(7)
...     .using_periods_with_at_least_one_record(3)
...     .using_ratio_threshold(0.5)
...     #
...     # NETWORK:
...     .using_clustering_algorithm_or_dict("louvain")
...     .using_association_index("association")
...     .using_minimum_terms_in_cluster(5)
...     #
...     # DATABASE:
...     .where_root_directory("examples/fintech/")
...     .where_database("main")
...     .where_record_years_range(None, None)
...     .where_record_citations_range(None, None)
...     .where_records_match(None)
...     #
...     .run()
... )
>>> df 
   Cluster  ...                                              Terms
0        0  ...  FINANCIAL_TECHNOLOGIES 12:1615; BANKS 08:1049;...

[1 rows x 4 columns]