Work

Sentiment Analysis of Economic Text: A Lexicon-based Approach

Year: 2022

Type: article

Abstract: We propose an economic lexicon (EL) specifically designed for textual applications in economics. We construct the dictionary with two important characteristics: (1) to have a wide coverage of terms used in documents discussing economic concepts, and (2) to provide a human‐annotated sentiment score in the range [−1, 1]. We illustrate the use of the EL in the context of a simple sentiment measure and consider several applications in economics. The comparison to other lexicons shows that the EL is superior due to its wider coverage of domain relevant terms and its more accurate categorization of the word sentiment.

Source: Economic Inquiry

DOI: 10.1111/ecin.13264

Authors: Luca Barbaglia, Sergio Consoli, Sebastiano Manzan, Luca Tiozzo Pezzoli, Elisa Tosetti

Institutions: Joint Research Centre, Baruch College, Universitat de les Illes Balears, Brunel University of London, University of Padua

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $3,150

Funders: European Commission, Joint Research Centre