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Disentangling Topic Models: A Cross-cultural Analysis of Personal Values through Words

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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Disentangling Topic Models: A Cross-cultural Analysis of Personal Values through Words. / Wilson, Steven; Mihalcea, Rada; Boyd, Ryan et al.
Proceedings of 2016 EMNLP: Workshop on Natural Language Processing and Computational Social Science. Association for Computational Linguistics, 2016. p. 143-152.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Wilson, S, Mihalcea, R, Boyd, R & Pennebaker, JW 2016, Disentangling Topic Models: A Cross-cultural Analysis of Personal Values through Words. in Proceedings of 2016 EMNLP: Workshop on Natural Language Processing and Computational Social Science. Association for Computational Linguistics, pp. 143-152. <https://www.aclweb.org/anthology/W16-5619>

APA

Wilson, S., Mihalcea, R., Boyd, R., & Pennebaker, J. W. (2016). Disentangling Topic Models: A Cross-cultural Analysis of Personal Values through Words. In Proceedings of 2016 EMNLP: Workshop on Natural Language Processing and Computational Social Science (pp. 143-152). Association for Computational Linguistics. https://www.aclweb.org/anthology/W16-5619

Vancouver

Wilson S, Mihalcea R, Boyd R, Pennebaker JW. Disentangling Topic Models: A Cross-cultural Analysis of Personal Values through Words. In Proceedings of 2016 EMNLP: Workshop on Natural Language Processing and Computational Social Science. Association for Computational Linguistics. 2016. p. 143-152

Author

Wilson, Steven ; Mihalcea, Rada ; Boyd, Ryan et al. / Disentangling Topic Models: A Cross-cultural Analysis of Personal Values through Words. Proceedings of 2016 EMNLP: Workshop on Natural Language Processing and Computational Social Science. Association for Computational Linguistics, 2016. pp. 143-152

Bibtex

@inproceedings{ecb0c4e176d04a7190841423e27be776,
title = "Disentangling Topic Models: A Cross-cultural Analysis of Personal Values through Words",
abstract = "We present a methodology based on topic modeling that can be used to identify and quantify sociolinguistic differences between groups of people, and describe a regression method that can disentangle the influences of different attributes of the people in the group (e.g., culture, gender, age). As an example, we explore the concept of personal values, and present a cross-cultural analysis of value-behavior relationships spanning writers from the United States and India.",
author = "Steven Wilson and Rada Mihalcea and Ryan Boyd and Pennebaker, {James W.}",
year = "2016",
month = nov,
day = "1",
language = "English",
isbn = "9781945626258",
pages = "143--152",
booktitle = "Proceedings of 2016 EMNLP",
publisher = "Association for Computational Linguistics",

}

RIS

TY - GEN

T1 - Disentangling Topic Models: A Cross-cultural Analysis of Personal Values through Words

AU - Wilson, Steven

AU - Mihalcea, Rada

AU - Boyd, Ryan

AU - Pennebaker, James W.

PY - 2016/11/1

Y1 - 2016/11/1

N2 - We present a methodology based on topic modeling that can be used to identify and quantify sociolinguistic differences between groups of people, and describe a regression method that can disentangle the influences of different attributes of the people in the group (e.g., culture, gender, age). As an example, we explore the concept of personal values, and present a cross-cultural analysis of value-behavior relationships spanning writers from the United States and India.

AB - We present a methodology based on topic modeling that can be used to identify and quantify sociolinguistic differences between groups of people, and describe a regression method that can disentangle the influences of different attributes of the people in the group (e.g., culture, gender, age). As an example, we explore the concept of personal values, and present a cross-cultural analysis of value-behavior relationships spanning writers from the United States and India.

M3 - Conference contribution/Paper

SN - 9781945626258

SP - 143

EP - 152

BT - Proceedings of 2016 EMNLP

PB - Association for Computational Linguistics

ER -