GU-DataLab/PoliBERTweet
A transformer-based language model trained on politics-related Twitter data. This repo is the official resource of the paper "PoliBERTweet: A Pre-trained Language Model for Analyzing Political Content on Twitter", LREC 2022
This is a specialized language model designed to understand and analyze political conversations on Twitter. It takes raw political tweets as input and can help identify underlying sentiment, specific political stances, or other patterns within the text. Social scientists, political analysts, and researchers studying public opinion on social media would find this tool valuable for their work.
No commits in the last 6 months.
Use this if you need to perform in-depth analysis of political discussions and opinions expressed on Twitter, such as identifying support for a candidate or a specific policy.
Not ideal if your focus is on general sentiment analysis or topics outside of politics, or if your data is from platforms other than Twitter.
Stars
14
Forks
—
Language
—
License
MIT
Category
Last pushed
Oct 03, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/GU-DataLab/PoliBERTweet"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ScalaConsultants/Aspect-Based-Sentiment-Analysis
💠Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)
curiousily/Deploy-BERT-for-Sentiment-Analysis-with-FastAPI
Deploy BERT for Sentiment Analysis as REST API using FastAPI, Transformers by Hugging Face and PyTorch
cleopatra-itn/fair_multimodal_sentiment
Code and Splits for the paper "A Fair and Comprehensive Comparison of Multimodal Tweet Sentiment...
mohd-faizy/06P_Sentiment-Analysis-With-Deep-Learning-Using-BERT
Finetuning BERT in PyTorch for sentiment analysis.
sampathkethineedi/bert-topic-sentiment
Topic Based Sentiment Detection using BERT