Sentiment analysis of economic text: A lexicon‐based approach

C-Tier
Journal: Economic Inquiry
Year: 2025
Volume: 63
Issue: 1
Pages: 125-143

Authors (5)

Luca Barbaglia (European Commission) Sergio Consoli (not in RePEc) Sebastiano Manzan (not in RePEc) Luca Tiozzo Pezzoli (not in RePEc) Elisa Tosetti (not in RePEc)

Score contribution per author:

0.201 = (α=2.01 / 5 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

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.

Technical Details

RePEc Handle
repec:bla:ecinqu:v:63:y:2025:i:1:p:125-143
Journal Field
General
Author Count
5
Added to Database
2026-01-24