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#Pdfextractor python pdf#
#Pdfextractor python code#

#Pdfextractor python pdf#

( unichr ( 0xd800 ), unichr ( 0xdbff ), unichr ( 0xdc00 ), unichr ( 0xdfff ), unichr ( 0xd800 ), unichr ( 0xdbff ), unichr ( 0xdc00 ), unichr ( 0xdfff ), unichr ( 0xd800 ), unichr ( 0xdbff ), unichr ( 0xdc00 ), unichr ( 0xdfff )) # load the file to parseįile_to_extract = str ( raw_input ( "Which file? " )) # command to execute pdf2txt.pyĬommand = "pdf2txt.py -O summary -o summary/" + file_to_extract + ".text -t text " + file_to_extract + ".pdf" # execute the command to retrieve the text from the pdf file

Thanks for reading! import os import re import as UserStoreConstants import as Types from collections import defaultdict import operator import from import EvernoteClient # invalid unicode chars Here are the thankful blogposts and websites that helped me a lot. Voila! Does this make sense to you? It can’t be perfect but I think it’s a good skimming of the article.

#Pdfextractor python code#

The sample pdf file I used for this blogpost is “Impact_of_the_social_sciences.pdf” which was available on the internet (hope this is not a case of copyright infringement).Ģ) get your own Evernote developer token and put it in the code.įollow the instructions provided by Evernote.ģ) run the python code and provide the name of the pdf file without “.pdf”. Here’s a simple example using pdf_extractor.py.ġ) place a pdf file in the same folder as pdf_extractor.py. (I couldn’t get my head around parsing lines of PDF files yet, so this could be a lazy yet highly amateurish approach.) The code below WON't work unless you have pdf2txt.py installed on your machine. The code I wrote below contains a code that runs “pdf2txt.py”.

note tag: the top 5 most frequently used words excluding “a, the, in, and, etc".

note content: an unordered list of important sentences.

(I decided not to include keywords in lowercase for now as the result gets messier due to the uncontrollable variation of English language.)Īfter extracting the list of important sentences and removing invalid unicode characters in them, this code accesses my Evernote account, open the designated notebook, creates a note with the following information: This code is designed to find the sentences that begin with these keywords. “Yet, “, “However, “ are the common phrases to introduce counter-intuitive or contradicting facts and opinions. In well-written academic papers, authors tend to put “Thus, “, “Therefore, “, “In sum, “ to summarise their arguments. The idea behind the code below is simple. Instead of spending a lengthy amount of hours, I came up with a brilliant idea, which is to extract the most important-looking sentences from academic gobbledygook. Reading a backlog of articles in English could be mind-boggling at times.