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My bioinformatics master thesis on biomedical literature text mining
Need to record how the wordlist was created, what versions of other third-party software were used and how to download them.
Will be keeping this issue open until the end of the thesis as more things need to be added to this repo.
As of now, I need to add
Geniatagger prints everything to the terminal. It'd be nice to modify it so that it provides warnings or other statuses that can be captured by the python code that's using it.
When the Medline_13M is done, there will be the need to validate the result beyond just using PubMed as ground truth. I.e., how do our SVD predictions compare to PubMed's closely related papers that are calculated from manual assignments of MeSH headings?
Plan A : Look into whether there are existing survey tools that would allow me to set up survey programmatically.
Plan B : If Plan A fails, would need to set up my own website for human annotations.
Might want to write test code for the Python code.
It's known to me that using find_term to generate termID-termFreq file often results in
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