Twitter-Veridicality

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Twitter-Veridicality

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Code and data for Veridicality classifier on Twitter

Twitter-Veridicality 최신버젼 다운로드

최종 버전 다운로드 (.zip)

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# Forecasting event outcomes using user predictions on Twitter.

This repository will be the home for code, data and a demo presented in the paper - [i have a feeling trump will win..................": Forecasting Winners and Losers from User Predictions on Twitter](http://aclweb.org/anthology/D17-1166)

@inproceedings{ssarmcdm2017forecasting,
  	title      = {"i have a feeling trump will win..................": Forecasting Winners and Losers from User Predictions on Twitter},
  	author     = {Swamy, Sandesh and Ritter, Alan and de Marneffe, Marie-Catherine},
  	booktitle  = {Proceedings of the Conference on Empirical Methods in Natural Language Processing.},
  	year       = {2017},
  	url        = {http://aclweb.org/anthology/D17-1166}
  	}

## UPDATE
The complete dataset is now available on the repository. If you still had questions about our work, feel free to reach out via e-mail at swamy(dot)14(at)osu(dot)edu.

# More details

This is joint work carried out with my advisers [Dr. Alan Ritter](http://aritter.github.io) and [Dr. Marie-Catherine de Marneffe](http://www.ling.ohio-state.edu/~demarneffe.1/).

Our work was picked for oral presentation at [EMNLP2017](http://emnlp2017.net/). You can find the talk given by [Prof. Ritter](http://aritter.github.io) [here](https://vimeo.com/238236876).

This work was carried out at [The Ohio State University](https://www.osu.edu/).

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