Work

Predicting political sentiments of voters from Twitter in multi-party contexts

Year: 2020

Type: article

Source: Applied Soft Computing

DOI: 10.1016/j.asoc.2020.106743

Authors: Aparup Khatua, Apalak Khatua, Erik Cambria

Institutions: Leibniz University Hannover, Xavier School of Management, L3S Research Center, Nanyang Technological University

Language: English

Topic: Social Media and Politics

Subfield: Communication

Field: Social Sciences

Domain: Social Sciences

Open Access status: closed

OpenAlex ID: W3088596325

FWCI: 12.27

Cites: 81

Cited by: 54

Related to: 10