Nov-15-2017, 11:33 AM
Hello All,
I need to process PDF and convert the table like data to CSV, this table contains fund name that could be unorganized, scattered or some time not correct. I have converted the pdf table into CSV (not very precise though
), after to this I need to process the fund names and match it with database/excel file containing all available fund names.
take for example CSV could be
"*","","west origin","retirement fund twirk","$2500"
now original fund name is "west origin retirement fund twirk" with amount $2500
I am considering TensorFlow, so can anybody give me any thought how to do it?
FYI....I am new at Python
I need to process PDF and convert the table like data to CSV, this table contains fund name that could be unorganized, scattered or some time not correct. I have converted the pdf table into CSV (not very precise though
), after to this I need to process the fund names and match it with database/excel file containing all available fund names.take for example CSV could be
"*","","west origin","retirement fund twirk","$2500"
now original fund name is "west origin retirement fund twirk" with amount $2500
I am considering TensorFlow, so can anybody give me any thought how to do it?
FYI....I am new at Python