Terms by Cluster Summary

Example

>>> from techminer2.experimental.emergence import TermsByClusterSummary
>>> (
...     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_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()
... )
   Cluster  Num Terms  Percentage                          Terms
0        0          2       100.0  DATA 7:1086; CONSUMERS 7:0925