Sentiment Analysis of Economic Text: A Lexicon-Based Approach
November 21, 2024 ยท Declared Dead ยท ๐ Social Science Research Network
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Luca Barbaglia, Sergio Consoli, Sebastiano Manzan, Luca Tiozzo Pezzoli, Elisa Tosetti
arXiv ID
2411.13958
Category
cs.CE: Computational Engineering
Cross-listed
cs.CL,
cs.CY
Citations
18
Venue
Social Science Research Network
Last Checked
2 months ago
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.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
๐ Similar Papers
In the same crypt โ Computational Engineering
R.I.P.
๐ป
Ghosted
R.I.P.
๐ป
Ghosted
A Probabilistic Graphical Model Foundation for Enabling Predictive Digital Twins at Scale
R.I.P.
๐ป
Ghosted
Temporal Attention augmented Bilinear Network for Financial Time-Series Data Analysis
R.I.P.
๐ป
Ghosted
Linked Component Analysis from Matrices to High Order Tensors: Applications to Biomedical Data
R.I.P.
๐ป
Ghosted
Deep Dynamical Modeling and Control of Unsteady Fluid Flows
R.I.P.
๐ป
Ghosted
Design and Optimization of Conforming Lattice Structures
Died the same way โ ๐ป Ghosted
R.I.P.
๐ป
Ghosted
Language Models are Few-Shot Learners
R.I.P.
๐ป
Ghosted
PyTorch: An Imperative Style, High-Performance Deep Learning Library
R.I.P.
๐ป
Ghosted
XGBoost: A Scalable Tree Boosting System
R.I.P.
๐ป
Ghosted