Work

Feature engineering from the perspective of agenda setting for predicting the success of online petitions

Year: 2024

Type: article

Source: Government Information Quarterly

DOI: 10.1016/j.giq.2024.101937

Authors: Philip Tin Yun Lee, Alvin Ying Lu, Feiyu E, Michael Chau

Institutions: Hong Kong Shue Yan University, National University of Singapore, University of Maryland, College Park, University of Hong Kong

Language: English

Topic: Computational and Text Analysis Methods

Subfield: General Social Sciences

Field: Social Sciences

Domain: Social Sciences

SDG: Peace, justice, and strong institutions

Open Access status: green

OpenAlex ID: W4396850816

FWCI: 2.624

Cites: 102

Cited by: 3

Related to: 10