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Bertweet Tb2 Pos Tagging

Developed by TweebankNLP
Baseline Twitter POS tagging model trained on Tweebank V2 named entity recognition benchmark with 95.21% accuracy
Downloads 39
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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