Smart Analysis of Economics Sentiment in Spanish Based on Linguistic Features and Transformers
Texts related to economics and finances are characterized by the use of words and expressions whose meaning (and the sentiments they convey) substantially depend on the context. This poses a major challenge to Natural Language Processing tasks in general, and Sentiment Analysis in particular. For lo...
Main Authors: | Jose Antonio Garcia-Diaz, Francisco Garcia-Sanchez, Rafael Valencia-Garcia |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10041929/ |
Similar Items
-
Evaluation of transformer models for financial targeted sentiment analysis in Spanish
by: Ronghao Pan, et al.
Published: (2023-05-01) -
A Feature-Based Approach for Sentiment Quantification Using Machine Learning
by: Kashif Ayyub, et al.
Published: (2022-03-01) -
Evaluating feature combination strategies for hate-speech detection in Spanish using linguistic features and transformers
by: José Antonio García-Díaz, et al.
Published: (2022-02-01) -
Individual- vs. Multiple-Objective Strategies for Targeted Sentiment Analysis in Finances Using the Spanish MTSA 2023 Corpus
by: Ronghao Pan, et al.
Published: (2024-02-01) -
PyFin-sentiment: Towards a machine-learning-based model for deriving sentiment from financial tweets
by: Moritz Wilksch, et al.
Published: (2023-04-01)