Work

SenticNet 2: A Semantic and Affective Resource for Opinion Mining and Sentiment Analysis

Year: 2012

Type: article

Authors: Erik Cambria, Catherine Havasi, Amir Hussain

Institutions: National University of Singapore, MIT Media Lab, Massachusetts Institute of Technology, University of Stirling

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2224584170

FWCI: 24.38

Cites: 32

Cited by: 210

Related to: 10