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Classification of github issues based on natural, aink And fastText libraries

Mazurek Maciej, Podpora Michal

Zeszyty Naukowe. Elektryka / Politechnika Opolska

2019

z. 77

73--74

The GitHub website issues often have labels wrongly assigned or the labels are missing completely. This article presents a comparison of three libraries in the field of computational linguistics. The goal of this comparison is to select the best solution for the evaluation of algorithms and for minimization of the learning time. The following libraries were used: Natural, Wink and fastText. Each library has been evaluated using a set of 60,000 issues, marked with the labels: bug, enhancement, question.