Cosine Similarities#
>>> from techminer2.tech_mining.svd.cooc_matrix import cosine_similarities
>>> cosine_similarities(
... #
... # PARAMS:
... field="nlp_phrases",
... association_index=None,
... #
... # ITEM PARAMS:
... top_n=20,
... occ_range=(None, None),
... gc_range=(None, None),
... custom_items=None,
... #
... # SVD PARAMS:
... n_components=5,
... algorithm="randomized",
... n_iter=5,
... n_oversamples=10,
... power_iteration_normalizer="auto",
... random_state=0,
... tol=0.0,
... #
... # DATABASE PARAMS:
... root_dir="example/",
... database="main",
... year_filter=(None, None),
... cited_by_filter=(None, None),
... ).head()
cosine_similariries
nlp_phrases
FINTECH 40:6331 CHALLENGES 09:1473 (0.977); FINANCIAL_TECHNOLO...
TECHNOLOGIES 23:3317 FINANCIAL_SECTOR 09:1733 (0.962); CHALLENGES 0...
AUTHOR 18:2443 DATA 10:1569 (0.995); CHALLENGES 09:1473 (0.96...
FINANCIAL_INDUSTRY 17:3704 INNOVATION 13:2298 (0.984); FINANCIAL_SECTOR 0...
FINANCIAL_TECHNOLOGY 17:2225 FINTECH 40:6331 (0.973); IMPACT 09:1495 (0.967...