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uscongressionalspeechstudy's Introduction

USCongressionalSpeechStudy

Most of the scripts available in this repository were used in the construction of the "What’s in a Word? Detecting Partisan Affiliation from Word Use in Congressional Speeches" paper. They date back as early as 2017, so there are some functions that deprecated since then. Thus, current python versions will not be compatible, so please be aware when implementing them.

More details about the methods and the data collection used in this study are available in the paper, which is also provided as pdf in this repo.

If you are using the scripts in this repository or the paper, please cite:

APA style:

Bayram, U., Pestian, J., Santel, D., & Minai, A. A. (2019, July). What’s in a word? detecting partisan affiliation from word use in congressional speeches. In 2019 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE.

Bibtex:

@inproceedings{bayram2019s,

title={What’s in a word? detecting partisan affiliation from word use in congressional speeches},

author={Bayram, Ulya and Pestian, John and Santel, Daniel and Minai, Ali A},

booktitle={2019 International Joint Conference on Neural Networks (IJCNN)},

pages={1--8},

year={2019},

organization={IEEE}

}

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