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Beto Sentiment Analysis

Developed by finiteautomata
A sentiment analysis model trained based on the BETO Spanish BERT model, supporting POS/NEG/NEU three-class sentiment classification
Downloads 339.11k
Release Time : 3/2/2022

Model Overview

This model is specifically designed for sentiment analysis of Spanish texts, trained on the TASS 2020 corpus, covering multiple Spanish dialects.

Model Features

Multi-dialect Support
Trained on the TASS 2020 corpus, covering various Spanish dialect variants
Efficient Classification
Utilizes an optimized BERT architecture for efficient three-class sentiment classification
Transfer Learning
Fine-tuned based on the pre-trained BETO model to enhance classification performance on small datasets

Model Capabilities

Spanish text sentiment analysis
Tweet sentiment classification
Three-class sentiment recognition

Use Cases

Social Media Analysis
Tweet Sentiment Monitoring
Analyze the sentiment tendencies of Spanish social media tweets
Can identify positive/negative/neutral three-class sentiments
Market Research
Product Review Analysis
Analyze the sentiment of Spanish user reviews on products
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