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Twitter Roberta Base Dec2021 Tweetner7 All

Developed by tner
A named entity recognition model fine-tuned on the TweetNER7 dataset based on the Twitter-RoBERTa model, specifically designed for entity recognition in tweets.
Downloads 6
Release Time : 7/3/2022

Model Overview

This model is a fine-tuned version of Twitter-RoBERTa on the TweetNER7 dataset, used to identify named entities in tweets, such as people, locations, companies, etc.

Model Features

High-performance entity recognition
Performs excellently on tweet data, especially in identifying person and location entities.
Special text processing
Supports the processing of special formats of account names and URLs in tweets, optimizing entity recognition for tweet data.
Multiple entity category support
Can recognize multiple entity categories, including companies, creative works, events, groups, locations, people, and products.

Model Capabilities

Tweet entity recognition
Multi-category entity classification
Special format text processing

Use Cases

Social media analysis
Tweet entity extraction
Extract entities such as people, locations, and companies from tweets for social media monitoring and analysis.
The F1 score reaches 0.6447 (micro)
Content recommendation
Entity-based content recommendation
Recommend relevant content or products to users by identifying entities in tweets.
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