Concordant Processed Contexts

Example

>>> from techminer2.database.search import ConcordantProcessedContexts

>>> # Create, configure, and run the finder
>>> # order_records_by:
>>> #   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
>>> #
>>> finder = (
...     ConcordantProcessedContexts()
...     #
...     # PATTERN:
...     .with_abstract_having_pattern("FINTECH")
...     #
...     .where_root_directory_is("examples/fintech/")
...     .where_database_is("main")
...     .where_record_years_range_is(None, None)
...     .where_record_citations_range_is(None, None)
...     .where_records_match(None)
...     .where_records_ordered_by("date_newest")
... )
>>> contexts = finder.run()
>>> for t in contexts[:10]: print(t) 
       in THIS_INTRODUCTORY_ARTICLE , we describe the recent FINTECH phenomenon and the novel editorial protocol employed for >>>
<<<  learned from the submitted proposals about the field of FINTECH and which ones we selected to be completed and ultimatel >>>
        in this study , we unveil the drivers motivating the FINTECH phenomenon perceived by the english and german popular p >>>