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Bertweet Hedge
B
Bertweet Hedge
Developed by ChrisLiewJY
Fine-tuned based on the BERTweet foundation model for detecting linguistic uncertainty (hedging) in social media texts.
Downloads 803
Release Time : 4/16/2022
Model Overview
This model is specifically designed to identify expressions of uncertainty (hedging) in social media texts, fine-tuned on the Szeged Uncertainty Corpus using VinAI's BERTweet model.
Model Features
High Accuracy
Achieves an accuracy of 0.9680 on the test set, demonstrating excellent performance.
Optimized Training Method
Trained and optimized using DeepMind's population-based training method implemented with Ray Tune.
Social Media Text Optimization
Based on the BERTweet model, it is particularly suitable for processing social media texts.
Model Capabilities
Text Classification
Uncertainty Detection
Social Media Text Analysis
Use Cases
Social Media Analysis
Financial Tweet Uncertainty Detection
Analyzes expressions of uncertainty in financial-related tweets, such as 'seems,' 'might,' and similar wording.
Accurately identifies vague expressions in market predictions.
News Authenticity Verification
Detects uncertain statements in news reports to assist in fact-checking.
Helps identify news content that requires further verification.
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