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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.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/saivasanthg%2FNLP-based-Disaster-Detection-in-Tweets-using-ML-Algorithms

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

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