Predicting Question Quality on StackOverflow with Neural Networks

arXiv:2404.14449v1 Announce Type: cross
Abstract: The wealth of information available through the Internet and social media is unprecedented. Within computing fields, websites such as Stack Overflow are considered important sources for users seeking solutions to their computing and programming issues. However, like other social media platforms, Stack Overflow contains a mixture of relevant and irrelevant information. In this paper, we evaluated neural network models to predict the quality of questions on Stack Overflow, as an example of Question Answering (QA) …

abstract arxiv computing cs.cl cs.lg fields however information internet media networks neural networks overflow platforms programming quality question social social media social media platforms solutions stack stack overflow stackoverflow through type wealth websites