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Roberta Base Bne Finetuned Amazon Reviews Multi
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Roberta Base Bne Finetuned Amazon Reviews Multi

Developed by Proggleb
This model is a text classification model fine-tuned on the Amazon multilingual reviews dataset based on roberta-base-bne, primarily used for sentiment analysis of Spanish comments.
Text Classification
Transformers
#Spanish comment analysis#High accuracy classification#E-commerce sentiment analysis
Downloads 13
Release Time : 3/2/2022

Model Overview

A RoBERTa model fine-tuned for Amazon multilingual reviews (Spanish), designed for text classification tasks, particularly sentiment analysis of reviews.

Model Features

High accuracy
Achieves a classification accuracy of 91.85% on the Amazon Spanish reviews dataset.
Multilingual support
Fine-tuned on a multilingual pre-trained model, demonstrating strong language understanding capabilities.
Efficient fine-tuning
Requires only 2 training epochs to achieve high performance.

Model Capabilities

Spanish text classification
Sentiment analysis
Review rating prediction

Use Cases

E-commerce
Product review analysis
Automatically classify the sentiment orientation of Spanish product reviews on Amazon.
91.85% accuracy
Customer feedback analysis
Analyze the sentiment orientation of Spanish customer feedback.
Market research
Consumer sentiment trend analysis
Track changes in consumer sentiment toward specific products in the Spanish market.
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