Disaster Tweet Classification Transformer Models

Tools for classifying tweets and social media posts to identify disaster-related content, emergency situations, and crisis events using transformer models. Does NOT include general text classification, fake news detection, or non-emergency sentiment analysis.

There are 8 disaster tweet classification models tracked. The highest-rated is prrao87/tweet-stance-prediction at 47/100 with 107 stars.

Get all 8 projects as JSON

curl "https://pt-edge.onrender.com/api/v1/datasets/quality?domain=transformers&subcategory=disaster-tweet-classification&limit=20"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

#	Model	Score	Tier	Stars	Language
1	prrao87/tweet-stance-prediction Applying NLP transfer learning techniques to predict Tweet stance toward a topic	47	Emerging	107	Jupyter Notebook
2	JRC1995/BERT-Disaster-Classification-Capsule-Routing Exploration of BERT-BiLSTM models with Layer Aggregation (attention-based...	36	Emerging	25	Python
3	brunneis/ilab-erisk-2020 Repository accompanying the CLEF 2020 eRisk Workshop Working Notes for the...	29	Experimental	7	Jupyter Notebook
4	blazejdolicki/bert-sarcasm-detection Sarcasm detection with BERT	27	Experimental	6	Jupyter Notebook
5	SuryaVamsi-P/Conflict-NLP-Topic-Modeling-Sentiment-Analysis-using-LLMs Extracts insights from 26K+ protest events using BERTopic, Top2Vec, and LLMs...	18	Experimental	1	Jupyter Notebook
6	tk-yasuno/disaster-question-answer Japanese disaster-focused question answering system : Utilizing the...	13	Experimental	—	Python
7	SalehAhmedShafin/Multimodal-Disaster-Event-Identification-from-Social-Media-Posts We have proposed a multimodal approach. Where we first took the best...	12	Experimental	6	Jupyter Notebook
8	khaliquezafar/Ceph-LogBert-Anomaly-Detection This project provides an advanced anomaly detection system for Ceph...	12	Experimental	2	HTML