Tag Prediction of Stack Overflow Questions using NLP and ML

Journal: GRENZE International Journal of Engineering and Technology
Authors: P.Yogendra Prasad, Mylavarapu Priyanka, Shaik Amreen, N.Desai Sreenivas Reddy, Muppala Bhanu Teja
Volume: 10 Issue: 2
Grenze ID: 01.GIJET.10.2.597 Pages: 1519-1523

Abstract

Technology is growing in great leaps and bounds and the number of innovations is increasing every day with major contributor being the advancement in the software development environment. Programming environment includes plethora of tools and support platforms that gives a complete assistance to the programming designers. These platforms can be question- answer based or coding based or tutorial based. Stack Overflow is a very popular online question- answer platform in the current generation and is growing to be the greatest question-answer gathering for programmers and software developers. The amount of information in this forum is so huge that one of the main functionalities of this platform would be tagging i.e., identifying the label or class to which the piece of information belongs to. Tagging helps in easy retrieval and organization of data. We propose a multi label classification system that labels all the questions on the forums with their appropriate tags autonomously. This auto-labelling framework makes it very easy for the users to find answers for the inquiries posted, given significant tags for the same and also helps the site in organizing their questions in a better way.

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