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Jd Resume Model
J
Jd Resume Model
Developed by nikunjbjj
A Spanish sentiment analysis tool based on the BETO model, trained on the TASS 2020 corpus, supporting multiple Spanish dialects.
Downloads 18
Release Time : 3/2/2022
Model Overview
This model is used for sentiment analysis of Spanish texts, identifying positive, negative, or neutral emotions in the text.
Model Features
Multidialect Support
The training data covers multiple Spanish dialects, making it suitable for text analysis across different regions.
Based on BETO Model
Uses a BERT model specifically optimized for Spanish as the foundation, providing more accurate sentiment analysis.
Three-Class Sentiment Classification
Can classify text sentiment into three categories: positive (POS), negative (NEG), and neutral (NEU).
Model Capabilities
Spanish text sentiment analysis
Tweet sentiment classification
Use Cases
Social Media Analysis
Tweet Sentiment Monitoring
Analyze user sentiment tendencies in Spanish tweets
Can identify users' positive, negative, or neutral attitudes toward specific topics
Market Research
Product Review Analysis
Analyze sentiment in Spanish user product reviews
Helps understand product acceptance in Spanish-speaking markets
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