Sentiment analysis of economic text: A lexicon‐based approach
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.
Authors
- Sergio Consoli (ORCID: https://orcid.org/0000-0001-7357-5858)
- Sebastiano Manzan (ORCID: https://orcid.org/0000-0002-0931-9769)
- Luca Barbaglia (ORCID: https://orcid.org/0000-0001-5930-5392)
- Luca Tiozzo Pezzoli (ORCID: https://orcid.org/0000-0002-9737-0213)
- Elisa Tosetti (ORCID: https://orcid.org/0000-0003-0979-2828)
Institutions
- University of London (GB)
- University of Padua (IT)
- Baruch College (US)
- Joint Research Centre (IT)
- Universitat de les Illes Balears (ES)
- Brunel University of London (GB)
Publication Details
- Journal
- Economic Inquiry
- Published
- 2024-11-13
- DOI
- https://doi.org/10.1111/ecin.13264
- Citations
- 14
- Primary Topic
- Stock Market Forecasting Methods
- Type
- article
- Field-Weighted Citation Impact
- 6.87
Funders
- European Commission
- Joint Research Centre