Bertweet Tb2 Pos Tagging
Baseline Twitter POS tagging model trained on Tweebank V2 named entity recognition benchmark with 95.21% accuracy
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Release Time : 5/3/2022
Model Overview
This model is designed for POS tagging tasks on Twitter text, trained on the Tweebank-NER dataset using BERTweet architecture, suitable for social media text analysis.
Model Features
High accuracy
Achieves 95.21% accuracy on the Tweebank-NER benchmark
Twitter text optimization
Specifically trained for Twitter text characteristics, ideal for social media analysis
Preprocessing support
Recommends using TweetTokenizer for preprocessing to achieve optimal performance
Model Capabilities
Twitter text POS tagging
Social media text analysis
Use Cases
Social media analysis
Twitter text processing
Performs POS tagging on Twitter text to support subsequent text analysis tasks
95.21% accuracy
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