This is python project. The goal is to create a text sorting algorithm that will aid in paper creation.
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Need function to tokenize each sentence into a list of words with their grammar type.
The next step in breaking down the text file is to create a function to break down the sentences further.
I need a function that will take a sentence as an argument and return a list of words. Also a mirrored list should be made that contains each words' part of speech (noun, verb, etc). A third list should be created that separates a sentence into 'bits of information' (BOI). A noun, verb, pronoun, preposition, etc, will mark a good place to break off a new BOI. The length of this list will be what we use to declare a sentence 'To Dense'. Will need to collaborate to see how to handle adverbs and adjectives.
Need module to turn .pdf's to text
A core feature of this project is to turn scientific papers into parsable strings. To do that we need to be able to pull the text from pdfs correctly, in a correct format.
Missing setup.py for installation
We need a setup.py that installs the package for users along with dependencies (like nltk and its relevant data sets).
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