Git Product home page Git Product logo

arabic-twitter-corpus-for-flood-detection's Introduction

Arabic-Twitter-Corpus-for-Flood-Detection

The corpus includes 4,037 human-labelled Arabic Twitter messages for four high-risk flood events that occurred in 2018 The tweets labelled based on relatedness to the crisis and information type.

If you use the dataset in your research, please cite the following paper:

Alharbi, A. and Lee, M., 2019. Crisis Detection from Arabic Tweets. In Proceedings of the 3rd Workshop on Arabic Corpus Linguistics (pp. 72-79).

BibTeX:

@inproceedings{alharbi2019crisis,
 title={Crisis Detection from Arabic Tweets},
 author={Alharbi, Alaa and Lee, Mark},
 booktitle={Proceedings of the 3rd Workshop on Arabic Corpus Linguistics},
 pages={72--79}, 
 year={2019}
}

arabic-twitter-corpus-for-flood-detection's People

Contributors

alaa-a-a avatar

Stargazers

 avatar  avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.