DATASET

Economic Lexicon

Collection: SentiBigNomics : Sentiment dictionary for textual applications in economics 

Description

This dataset represents a dictionary specifically designed for textual applications in economics. The lexicon has been constructed with two important characteristics: 1) to have a wide coverage of terms typically used in documents discussing economic and financial concepts, and 2) to provide a human-annotated sentiment score in the range [-1,1]. The sentiment score is a useful feature when the interest is to weight words by their sentiment content as opposed to categorizing terms in positive and negative. The dictionary can be used, for example, to construct measures of economic pessimism capturing the business cycle and correlating with measures of economic and financial uncertainty.

Contact

Email
Sergio.CONSOLI (at) ec.europa.eu

Contributors

How to cite

Luca Barbaglia; Luca Tiozzo Pezzoli; Sergio Consoli; Elisa Tosetti; Sebastiano Manzan (2021): Economic Lexicon. European Commission, Joint Research Centre (JRC) [Dataset] PID: http://data.europa.eu/89h/1c054ef4-561a-464a-9077-3f6b09630da2

Keywords

economy and finance Sentiment analysis textual analysis

Data access

Publications

Publication
Sentiment Analysis of Economic Text: A Lexicon-based Approach
Barbaglia, Luca and Consoli, Sergio and Manzan, Sebastiano and Tiozzo Pezzoli, Luca and Tosetti, Elisa, Sentiment Analysis of Economic Text: A Lexicon-based Approach (May 11, 2022). Available at SSRN: https://ssrn.com/abstract=4106936 or http://dx.doi.org/10.2139/ssrn.4106936
Publication page 

Geographic areas

World

Additional information

Published by
European Commission, Joint Research Centre
Created date
2022-05-30
Modified date
2022-12-21
Issued date
2021-01-01
Landing page
https://ec.europa.eu/jrc/communities/en/community/big-data-and-forecasting-economic-developments 
Data theme(s)
Economy and finance, Government and public sector, Science and technology
Update frequency
irregular
Identifier
http://data.europa.eu/89h/1c054ef4-561a-464a-9077-3f6b09630da2
Popularity