>>> from techminer2.science_mapping.topic_modeling.lda 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,
... #
... # LDA PARAMS:
... n_components=10,
... learning_decay=0.7,
... learning_offset=50.0,
... max_iter=10,
... batch_size=128,
... evaluate_every=-1,
... perp_tol=0.1,
... mean_change_tol=0.001,
... max_doc_update_iter=100,
... 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 ... FINTECH 31:5168
1 BLOCKCHAIN 03:0369 ... INNOVATION 07:0911
2 FINANCIAL_SERVICES 04:0667 ... DIGITALIZATION 03:0434
3 CASE_STUDIES 03:0442 ... POPULAR_PRESS 02:0181
4 MOBILE_PAYMENT 03:0309 ... CONTENT_ANALYSIS 02:0181
[5 rows x 10 columns]