Aggregating twitter text through generalized linear regression models for tweet popularity prediction and automatic topic classification

Mo, Chen, Yin, Jingjing, Fung, Isaac Chun Hai et al. (1 more author) (2021) Aggregating twitter text through generalized linear regression models for tweet popularity prediction and automatic topic classification. European Journal of Investigation in Health, Psychology and Education. 1554. ISSN 2254-9625

Abstract

Metadata

Item Type: Article
Authors/Creators:
  • Mo, Chen
  • Yin, Jingjing
  • Fung, Isaac Chun Hai
  • Tse, Zion Tsz Ho (zt745@york.ac.uk)
Copyright, Publisher and Additional Information:

Publisher Copyright: © 2021 by the authors.

Keywords: Document term matrix,Hurdle model,Odds ratio,Regression,Relative risk,Social network,Text data
Dates:
  • Published: 26 December 2021
  • Accepted: 23 November 2021
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Electronic Engineering (York)
Depositing User: Pure (York)
Date Deposited: 01 Jul 2022 09:50
Last Modified: 07 Dec 2024 00:23
Published Version: https://doi.org/10.3390/ejihpe11040109
Status: Published
Refereed: Yes
Identification Number: 10.3390/ejihpe11040109
Related URLs:
Open Archives Initiative ID (OAI ID):

Download

Filename: ejihpe_11_00109_v2.pdf

Description: ejihpe-11-00109-v2

Licence: CC-BY 2.5

Export

Statistics