>>> from techminer2.science_mapping.topic_modeling.nmf import themes
>>> themes(
... #
... # TF PARAMS:
... field="author_keywords",
... is_binary=True,
... cooc_within=1,
... #
... n_top_terms=5,
... #
... # ITEM FILTERS:
... top_n=None,
... occ_range=(None, None),
... gc_range=(None, None),
... custom_items=None,
... #
... # NMF PARAMS:
... n_components=10,
... init=None,
... solver="cd",
... beta_loss="frobenius",
... tol=0.0001,
... max_iter=200,
... alpha_W=0.0,
... alpha_H=0.0,
... l1_ratio=0.0,
... shuffle=False,
... random_state=0,
... #
... # DATABASE PARAMS:
... root_dir="example/",
... database="main",
... year_filter=(None, None),
... cited_by_filter=(None, None),
... )
TH_0 ... TH_9
0 FINTECH 31:5168 ... FINANCIAL_INCLUSION 03:0590
1 DIGITALIZATION 03:0434 ... FINTECH 31:5168
2 CYBER_SECURITY 02:0342 ... INTERNATIONAL_DEVELOPMENT 01:0314
3 POPULAR_PRESS 02:0181 ... GOVERNMENTALITY 01:0314
4 CONTENT_ANALYSIS 02:0181 ... FINANCIALISATION 01:0314
[5 rows x 10 columns]