Cosine Similarities

>>> from sklearn.decomposition import PCA
>>> from techminer2.factor_analysis.tfidf import cosine_similarities
>>> cosine_similarities(
...     #
...     # PARAMS:
...     field="author_keywords",
...     #
...     # TF PARAMS:
...     is_binary=True,
...     cooc_within=1,
...     #
...     # TF-IDF PARAMS:
...     norm=None,
...     use_idf=False,
...     smooth_idf=False,
...     sublinear_tf=False,
...     #
...     # TERM PARAMS:
...     top_n=20,
...     occ_range=(None, None),
...     gc_range=(None, None),
...     custom_terms=None,
...     #
...     # DESOMPOSITION PARAMS:
...     decomposition_estimator = PCA(
...         n_components=5,
...         whiten=False,
...         svd_solver="auto",
...         tol=0.0,
...         iterated_power="auto",
...         n_oversamples=10,
...         power_iteration_normalizer="auto",
...         random_state=0,
...     ),
...     #
...     # DATABASE PARAMS:
...     root_dir="example/",
...     database="main",
...     year_filter=(None, None),
...     cited_by_filter=(None, None),
... ).head()
                                                            cosine_similariries
author_keywords
FINTECH 31:5168                                      INNOVATION 07:0911 (0.106)
INNOVATION 07:0911            TECHNOLOGY 02:0310 (0.771); BANKING 02:0291 (0...
FINANCIAL_SERVICES 04:0667    FINANCIAL_TECHNOLOGY 03:0461 (0.885); BUSINESS...
FINANCIAL_INCLUSION 03:0590   CASE_STUDY 02:0340 (0.971); BLOCKCHAIN 02:0305...
FINANCIAL_TECHNOLOGY 03:0461  FINANCIAL_SERVICES 04:0667 (0.885); BUSINESS_M...