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Roberta Base Bne Finetuned Amazon Reviews Multi

Developed by fjluque
A text classification model fine-tuned on the Amazon multilingual reviews dataset based on the roberta-base-bne model, primarily used for sentiment analysis of Spanish comments
Downloads 17
Release Time : 3/2/2022

Model Overview

This model is a fine-tuned version of BSC-TeMU/roberta-base-bne on the Amazon multilingual reviews dataset, particularly adept at handling text classification tasks for Spanish comments

Model Features

High Accuracy
Achieves 91.73% accuracy on the Spanish version of the Amazon reviews dataset
Multilingual Support
Trained on a multilingual reviews dataset, especially proficient in processing Spanish text
Efficient Fine-tuning
Achieves good performance with just two rounds of fine-tuning on the base model

Model Capabilities

Spanish Text Classification
Review Sentiment Analysis
Multilingual Text Processing

Use Cases

E-commerce
Product Review Analysis
Analyze the sentiment tendencies of Spanish user product reviews
Accurately identifies sentiment in 91.73% of reviews
Customer Feedback Analysis
Customer Satisfaction Assessment
Automatically classify the sentiment tendencies of Spanish customer feedback
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