SiyamSajnan/LLMs-NNs-for-Sentiment-Classification-of-Disaster-Tweets
Comparative analysis of LLMs and conventional NNs to classify tweets into disaster-related and non-disaster-related tweets which can provide crucial information to governmental and humanitarian agencies in real-time disaster response.
No commits in the last 6 months.
Stars
1
Forks
1
Language
Jupyter Notebook
License
—
Category
Last pushed
Oct 31, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/SiyamSajnan/LLMs-NNs-for-Sentiment-Classification-of-Disaster-Tweets"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
kenhktsui/anyclassifier
One Line To Build Zero-Data Classifiers in Minutes
palewire/first-llm-classifier
Learn how journalists use large-language models to organize and analyze massive datasets
robert-mcdermott/LLM-Image-Classification
Image Classification Testing with LLMs
AnasMohammad4321/BERT-Pytorch
Comprehensive BERT model training and visualization, detailing pre-training, fine-tuning, and...
Mahesh3394/clinical_text_classification
Text classification with fine tuned LLM model. Bert model fine tuned on created dataset.