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STeM is a text mining tool to help scientists and researchers evaluate new papers in their area of interest. The program was born out of a desire to easily analyze scientific papers and to help scientists or researchers to decide whether the paper is interesting or not.
Automatically provide descripions to technical terms used in your paper, thesis, manual, lecture notes, etc. to ensure your reader is able to follow along!
Small App to parse author names as they appear in papers and quickly convert them into the "Lastname, Firstname" we usually use in the bibliography. Made in Python, using PyQt5 interface to Qt and PyCharm IDE on Windows 10