Code and data for Veridicality classifier on Twitter
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FeatureExtraction
data minor typo fixes. May 23, 2018
demo
models
README.md

README.md

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

@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 and Dr. Marie-Catherine de Marneffe.

Our work was picked for oral presentation at EMNLP2017. You can find the talk given by Prof. Ritter here.

This work was carried out at The Ohio State University.