B

Bert Election2020 Twitter Stance Trump

Developed by kornosk
BERT model pre-trained on 5 million 2020 US election tweets, specifically designed to detect stance towards Trump (support/oppose/neutral)
Downloads 40
Release Time : 3/2/2022

Model Overview

This model is trained using knowledge-enhanced masked language model technology, specifically for classifying political stances towards Trump in Twitter text

Model Features

Political Stance Analysis
Optimized specifically for detecting political stances towards Trump, accurately identifying support/oppose/neutral positions
Twitter Text Optimization
Pre-trained on 5 million real Twitter posts, providing better understanding of informal social media text
Knowledge-Enhanced Training
Uses knowledge-enhanced masked language model technology to improve semantic understanding for stance detection

Model Capabilities

Political Stance Classification
Social Media Text Analysis
Sentiment Tendency Judgment

Use Cases

Political Analysis
Election Public Opinion Monitoring
Real-time analysis of public attitude changes towards Trump on Twitter
Can generate support rate/opposition rate trend reports
Campaign Strategy Optimization
Identify public stances on key issues to guide campaign message adjustments
Academic Research
Political Communication Research
Analyze the formation and dissemination patterns of political stances on social media
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