@inproceedings{0f1fcb2562764e6a82074525d3d31d63,
title = "Predicting Response Quantity from Linguistic Characteristics of Questions on Academic Social Q&A Sites",
abstract = "Academic social Q&A websites have a lower response quantity than other types of social Q&A. To help academic social Q&A platforms implement mechanisms to improve the quantities of responses to questions that are rarely answered and to predict these quantities, this study uses 93 features representing the linguistic characteristics of academic questions, and compares several methods of prediction to determine the one that delivers the best performance. It also identifies the most useful feature set for such predictions.",
keywords = "Academic questions, Academic social Q&A, Linguistic characteristics, Response quantity prediction",
author = "Lei Li and Anrunze Li and Xue Song and Xinran Li and Kun Huang and Ye, {Edwin Mouda}",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 22nd International Conference on Asia-Pacific Digital Libraries, ICADL 2020 ; Conference date: 30-11-2020 Through 01-12-2020",
year = "2020",
doi = "10.1007/978-3-030-64452-9_37",
language = "英语",
isbn = "9783030644512",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "399--406",
editor = "Emi Ishita and Pang, {Natalie Lee} and Lihong Zhou",
booktitle = "Digital Libraries at Times of Massive Societal Transition - 22nd International Conference on Asia-Pacific Digital Libraries, ICADL 2020, Proceedings",
}