Work

Predicting Brexit: Classifying Agreement is Better than Sentiment and Pollsters

Year: 2016

Type: conference-paper

Source: Institutional Research Information System (Università degli Studi di Trento)

Authors: Fabio Celli, Evgeny A. Stepanov, Massimo Poesio, Giuseppe Riccardi

Institutions: University of Trento, University of Essex

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2787752663

FWCI: 1.3

Cites: 16

Cited by: 25

Related to: 10