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Malay Sentiment Deberta Xsmall
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Malay Sentiment Deberta Xsmall
Developed by malaysia-ai
A Malay binary sentiment analysis model fine-tuned based on Deberta-V3-xsmall, supporting prediction of positive or negative sentiment labels
Downloads 217
Release Time : 2/13/2024
Model Overview
This model is specifically designed for sentiment analysis tasks on Malay text, capable of performing binary classification (positive/negative) on input Malay texts. The model is fine-tuned based on the Deberta-V3-xsmall architecture, with training data sourced from the Malay sentiment analysis dataset provided by Malaysia AI.
Model Features
Malay-specific
A sentiment analysis model specifically optimized for Malay text
Efficient and lightweight
Based on the xsmall architecture, reducing computational resource requirements while maintaining performance
Binary classification
Focuses on distinguishing between two basic sentiment states: positive/negative
Model Capabilities
Malay text sentiment analysis
Binary sentiment classification (positive/negative)
Use Cases
Social media analysis
Comment sentiment analysis
Analyze the sentiment tendencies of Malay social media comments
Identify user attitudes towards products or services
Market research
Product feedback analysis
Evaluate product reviews in the Malay market
Help understand product acceptance in the Malay-speaking market
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