GitHub / saivasanthg / NLP-based-Disaster-Detection-in-Tweets-using-ML-Algorithms
This project focuses on detecting disaster-related tweets using machine learning. The dataset, sourced from Kaggle, contains 7613 tweets labeled as disaster-related or not. Various Natural Language Processing (NLP) techniques and machine learning models were applied to classify these tweets accurately.
Stars: 0
Forks: 0
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 466 KB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: 2 months ago
Pushed at: 2 months ago
Last synced at: 2 months ago
Topics: bert, data-science, disaster-response, huggingface, lightgbm, logistic-regression, machine-learning, natural-language-processing, nlp-classification, random-forest, svm, text-classification