Spanish-language tweets compiled for research on sentiment analysis. The data is organized into four polarity categories: positive, neutral, negative, and no opinion. The dataset was authored by Pilar Garcia Diaz and last updated on April 21, 2026.
Use Cases
- Training sentiment classifiers based on the four annotated polarity categories.
- Benchmarking novel feature extraction algorithms for Spanish text.
- Analyzing the distribution of sentiment in Spanish tweets.
- Developing context-aware NLP models for Spanish social media.
Strengths
- Data is explicitly annotated for four distinct sentiment categories.
- Focuses on Spanish-language content, a specific linguistic domain.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- e-cienciaDatos Harvested Dataverse
- Collection Method
- Compiled and organized for a research article on a novel feature extraction algorithm.
- Time Range
- null
- Freshness
- Last updated 2026-04-21 17:59:32; freshness should be verified.
- Geography
- null