mpolinowski/tf-nlp-2023

(Re) Introduction to Tensorflow Natural Language Processing

Language: Jupyter Notebook - Size: 1.33 MB - Last synced: about 2 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

guptaharshnavin/DisasterTweet-Detection-of-Fake-Disaster-Tweets

Classification of Disaster Tweets as REAL or FAKE using Machine Learning

Language: Jupyter Notebook - Size: 26.3 MB - Last synced: 4 months ago - Pushed: over 3 years ago - Stars: 1 - Forks: 0

rsuwaileh/IDRISI

IDRISI is the largest-scale publicly-available Twitter Location Mention Prediction (LMP) datasets, in both English and Arabic languages. It contains 41 disaster events of different types (e.g., floods, fires). Annotations include tagged LMs in posts, location types (e.g., cities, streets), links to OSM toponyms, & usefulness of features for LMD.

Language: Jupyter Notebook - Size: 29.3 MB - Last synced: 4 months ago - Pushed: 5 months ago - Stars: 5 - Forks: 2

elmezianech/Kaggle-Competition-NLP-disasterTweets

🚀 Welcome to my Kaggle submission for "Natural Language Processing with Disaster Tweets." In this challenge, we explore tweets, using NLP to distinguish between those about real disasters and those that aren't. The goal is to build a robust model for accurate disaster-related tweet prediction. 🏆 Impressive F1 score of 0.79926 on the public leader

Language: Jupyter Notebook - Size: 10.7 KB - Last synced: 4 months ago - Pushed: 6 months ago - Stars: 0 - Forks: 0

MMedzin/disaster-tweets-reality-classifier

Classifier for predicting if a tweet is about real disasters or not.

Language: Jupyter Notebook - Size: 587 KB - Last synced: 8 months ago - Pushed: about 3 years ago - Stars: 0 - Forks: 0

trhgquan/nlp-getting-started

Natural Language Processing with Disaster Tweets

Language: Python - Size: 260 KB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 0 - Forks: 0

Mina-Moeini/Disaster_Tweet

Language: Jupyter Notebook - Size: 1.04 MB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

anichucai/7506-Datos-tp2

[FIUBA] 75.06/95.58 Organización de Datos 2020 - Trabajo Práctico 2 - Machine Learning

Language: Jupyter Notebook - Size: 19.5 MB - Last synced: 10 months ago - Pushed: almost 4 years ago - Stars: 0 - Forks: 1

dice-group/MultPAX

A Multitask Framework for Present and Absent Keyphrase Generation using Knowledge Graphs

Language: Jupyter Notebook - Size: 6.44 MB - Last synced: 6 months ago - Pushed: almost 2 years ago - Stars: 4 - Forks: 1

egehanyorulmaz/disaster-tweet-prediction

An approach to solve the Kaggle Competition, Natural Language Processing with Disaster Tweets

Language: Python - Size: 831 KB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 1 - Forks: 0

Likitha7777/Capstone-Project

Language: Jupyter Notebook - Size: 20 MB - Last synced: 12 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

keivanipchihagh/NLP-with-Disaster-Tweets

My Kaggle submission notebook - 83.8% Accuracy 🤟 (Top 8%)

Language: Jupyter Notebook - Size: 8.86 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 2 - Forks: 0

ExplorerMunchkin/Disaster-Tweets-Kaggle

This project was developed for the Natural Language Processing with Disaster Tweets Kaggle competition

Language: Python - Size: 715 KB - Last synced: over 1 year ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 0

UditSharma9999/Natural_Language_Processing_with_Disaster_Tweets

Language: Jupyter Notebook - Size: 608 KB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

Agrover112/fastText-Real-or-Not-NLP-with-Disaster-Tweets

Kaggle real or not disaster tweets classification using FastText.

Language: Jupyter Notebook - Size: 497 KB - Last synced: about 7 hours ago - Pushed: about 4 years ago - Stars: 1 - Forks: 1