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...