Mex_Rbta_Opinion_Polarity Open-Source Model - Empowering Sentiment Classification Analysis of Spanish Texts

Mex Rbta Opinion Polarity

Developed by javilonso

A sentiment polarity analysis model fine-tuned based on PlanTL-GOB-ES/roberta-base-bne for Spanish text sentiment classification

Text Classification

Transformers

Open Source License:Apache-2.0 #Spanish Sentiment Analysis #RoBERTa Fine-tuning #Mexican Opinion Mining

Downloads 26

Release Time : 4/14/2022

Model Overview

This model is a Spanish sentiment analysis model fine-tuned on the roberta-base-bne architecture, primarily used to determine the sentiment polarity of text (positive/negative/neutral)

Model Features

Spanish Optimization

Fine-tuned on a Spanish pre-trained model for better understanding of Spanish text

Sentiment Polarity Analysis

Specifically optimized for sentiment polarity classification tasks

Lightweight Fine-tuning

Minimal epoch fine-tuning on the base model to maintain efficiency

Model Capabilities

Spanish text classification

Sentiment polarity judgment

Short text analysis

Use Cases

Social Media Analysis

User Comment Sentiment Analysis

Analyze sentiment tendencies in Spanish social media comments

Market Research

Product Review Classification

Perform sentiment classification on Spanish product reviews

Train Loss	Validation Loss	Epoch
0.5989	0.5516	0
0.4033	0.5572	1

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Mex Rbta Opinion Polarity

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 javilonso/Mex_Rbta_Opinion_Polarity

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📚 Documentation

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

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