>>> from techminer2.search import concordance_documents
>>> docs = concordance_documents(
... #
... # FUNCTION PARAMS:
... search_for='FINTECH',
... #
... # DATABASE PARAMS:
... root_dir="example/",
... database="main",
... year_filter=(None, None),
... cited_by_filter=(None, None),
... sort_by="date_newest", # date_newest, date_oldest, global_cited_by_highest,
... # global_cited_by_lowest, local_cited_by_highest,
... # local_cited_by_lowest, first_author_a_to_z,
... # first_author_z_to_a, source_title_a_to_z,
... # source_title_z_to_a
... )
>>> print(len(docs))
50
>>> print(docs[0])
Record-No: 6
AR Haddad C., 2019, SMALL BUS ECON, V53, P81
TI The emergence of the global fintech market: economic and technological
determinants
AU Haddad C.; Hornuf L.
TC 258
SO Small Business Economics
PY 2019
AB we investigate the economic and TECHNOLOGICAL_DETERMINANTS inducing
ENTREPRENEURS to establish ventures with the purpose of reinventing
FINANCIAL_TECHNOLOGY ( FINTECH ) . we find that countries witness more
FINTECH_STARTUP_FORMATIONS when the economy is well_developed and
VENTURE_CAPITAL is readily available . furthermore , the number of secure
INTERNET_SERVERS , MOBILE_TELEPHONE_SUBSCRIPTIONS , and the
AVAILABLE_LABOR_FORCE has a POSITIVE_IMPACT on the DEVELOPMENT of this
NEW_MARKET_SEGMENT . finally , the more difficult IT is for companies to
ACCESS_LOANS , the higher is the number of FINTECH_STARTUPS in a country .
overall , the EVIDENCE_SUGGESTS that FINTECH_STARTUP_FORMATION_NEED not be
left to chance , but ACTIVE_POLICIES can INFLUENCE the emergence of this
NEW_SECTOR . 2018 , the author ( s ) .
DE ENTREPRENEURSHIP; FINANCIAL_INSTITUTIONS; FINTECH; STARTUPS
** ACCESS_LOANS; ACTIVE_POLICIES; AVAILABLE_LABOR_FORCE; EVIDENCE_SUGGESTS;
FINANCIAL_TECHNOLOGY; FINTECH_STARTUPS; FINTECH_STARTUP_FORMATIONS;
FINTECH_STARTUP_FORMATION_NEED; GLOBAL_FINTECH_MARKET; INTERNET_SERVERS;
MOBILE_TELEPHONE_SUBSCRIPTIONS; NEW_MARKET_SEGMENT; NEW_SECTOR;
POSITIVE_IMPACT; TECHNOLOGICAL_DETERMINANTS; VENTURE_CAPITAL
>>> print(docs[1])
Record-No: 42
AR Chen M.A., 2019, REV FINANC STUD, V32, P2062
TI How Valuable Is FinTech Innovation?
AU Chen M.A.; Wu Q.; Yang B.
TC 235
SO Review of Financial Studies
PY 2019
AB we provide large_scale EVIDENCE on the occurrence and VALUE of
FINTECH_INNOVATION . using DATA on PATENT_FILINGS from 2003 to 2017 , we
apply MACHINE_LEARNING to identify and CLASSIFY_INNOVATIONS by their
underlying technologies . we find that most FINTECH_INNOVATIONS_YIELD
SUBSTANTIAL_VALUE to innovators , with BLOCKCHAIN being particularly
valuable . for the overall FINANCIAL_SECTOR , INTERNET_OF_THINGS ( IOT ) ,
robo_advising , and BLOCKCHAIN are the most VALUABLE_INNOVATION_TYPES .
INNOVATIONS affect FINANCIAL_INDUSTRIES more negatively when they involve
DISRUPTIVE_TECHNOLOGIES from NONFINANCIAL_STARTUPS , but MARKET_LEADERS that
invest heavily in their OWN_INNOVATION can avoid much of the
NEGATIVE_VALUE_EFFECT . ( JEL_G14 , G20 , G29 , g39 ) . the author ( s )
2019 .
** CLASSIFY_INNOVATIONS; DISRUPTIVE_TECHNOLOGIES; FINANCIAL_INDUSTRIES;
FINANCIAL_SECTOR; FINTECH_INNOVATION; FINTECH_INNOVATIONS_YIELD; JEL_G14;
LARGESCALE_EVIDENCE; MACHINE_LEARNING; MARKET_LEADERS;
NEGATIVE_VALUE_EFFECT; NONFINANCIAL_STARTUPS; OWN_INNOVATION;
PATENT_FILINGS; SUBSTANTIAL_VALUE; VALUABLE_INNOVATION_TYPES