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Wangchanberta Finetuned Sentiment
A model specialized in Thai text sentiment analysis, supporting positive, neutral, and negative sentiment classification.
Downloads 615
Release Time : 3/2/2022
Model Overview
This model is trained on multiple Thai datasets and can accurately identify sentiment tendencies in Thai text, suitable for scenarios such as social media monitoring and customer feedback analysis.
Model Features
Multi-dataset Training
Trained on multiple Thai datasets including wongnai_reviews, wisesight_sentiment, and generated_reviews_enth to enhance model generalization.
Three-class Sentiment Analysis
Accurately identifies positive, neutral, and negative sentiment tendencies in text.
Open-source License
Uses the Apache-2.0 license, allowing for both commercial and research use.
Model Capabilities
Thai text sentiment classification
Social media comment analysis
Customer feedback sentiment recognition
Use Cases
Social Media Analysis
User Comment Sentiment Monitoring
Analyzes the sentiment tendencies of Thai user comments on social media platforms.
Helps brands understand public sentiment.
Customer Service
Feedback Auto-classification
Automatically classifies customer feedback as positive/neutral/negative.
Improves customer service efficiency.
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