robertuito-emotion-analysis
| Property | Value |
|---|---|
| Author | pysentimiento |
| Framework | PyTorch |
| Paper | Research Paper |
| Downloads | 122,543 |
What is robertuito-emotion-analysis?
robertuito-emotion-analysis is a specialized emotion detection model trained specifically for Spanish tweets. Built on the RoBERTuito architecture, which is a RoBERTa model fine-tuned on Spanish social media content, this model excels at identifying emotional content in Spanish text. It was trained using the TASS 2020 Task 2 corpus and implements the complete set of Ekman emotions plus a neutral class.
Implementation Details
The model leverages the RoBERTuito architecture, which has been pre-trained on over 500 million Spanish tweets. It achieves a impressive Macro F1 score of 0.560 ±0.010, significantly outperforming other Spanish language models in emotion detection tasks.
- Based on RoBERTa architecture optimized for Spanish
- Trained on TASS 2020 Task 2 corpus
- Implements comprehensive emotion detection
- Achieves state-of-the-art performance for Spanish emotion analysis
Core Capabilities
- Detects seven distinct emotional states: anger, disgust, fear, joy, sadness, surprise, and neutral
- Specially optimized for Twitter/social media content
- Handles Spanish language nuances and colloquialisms
- Provides robust performance across various emotion detection scenarios
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its specialized focus on Spanish social media content and its comprehensive emotion detection capabilities. It's built on RoBERTuito, which is specifically pre-trained on Spanish tweets, making it particularly effective for social media analysis.
Q: What are the recommended use cases?
The model is ideal for analyzing Spanish social media content, sentiment analysis in marketing, social listening, customer feedback analysis, and academic research in Spanish-language emotion detection. It's particularly suited for applications requiring fine-grained emotion detection beyond simple sentiment analysis.
