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Re:Extracting campaign finance data from gnarly PDFs using d... by coffeecat on Saturday June 22, 2019 @01:18PM (#20250645)
I'm curious if you considered or attempted to use pdfplumber's table extraction methods to separate tabular from non-tabular text. That would be my starting point on a problem like this, as picking the relevant rows of a table is far easier than picking from the set of all tokens. By the way, when you say tokens, you're referring to non-whitespace characters separated by whitespace? How reliable have you found pdfplumber to be in picking out words/tokens?
Re:Extracting campaign finance data from gnarly PDFs using d... by jonathanstray on Saturday June 22, 2019 @01:33PM (#20250720)
I didn’t try separating out tables because the total field isn’t actually “inside” the table in many cases. Certainly the other fields I want are not.

pdfplumber seems mostly ok at extracting tokens. Sometimes it seems to combine tokens that should be separate. I suspect a few percent of the error is actually problems earlier in the data pipeline, as opposed to the model proper.