Beto-sentiment-analysis open source sentiment analysis model - Free deployment to accurately identify three types of Spanish sentiment

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.

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

Spanish text sentiment analysis

Tweet sentiment classification

Three-class sentiment recognition

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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