Demographic inference on Twitter using recursive neural networks

Sunghwan Mac Kim; Qiongkai Xu; Lizhen Qu; Stephen Wan; Cécile Paris

doi:10.18653/v1/P17-2075

Demographic inference on Twitter using recursive neural networks

Sunghwan Mac Kim, Qiongkai Xu, Lizhen Qu, Stephen Wan, Cécile Paris

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

37 Citations (Scopus)

Abstract

In social media, demographic inference is a critical task in order to gain a better understanding of a cohort and to facilitate interacting with one’s audience. Most previous work has made independence assumptions over topological, textual and label information on social networks. In this work, we employ recursive neural networks to break down these independence assumptions to obtain inference about demographic characteristics on Twitter. We show that our model performs better than existing models including the state-of-the-art.

Original language	English
Title of host publication	ACL 2017 - The 55th Annual Meeting of the Association for Computational Linguistics
Subtitle of host publication	Proceedings of the Conference, Vol. 2 (Short Papers)
Editors	Regina Barzilay, Min-Yen Kan
Place of Publication	Stroudsburg PA USA
Publisher	Association for Computational Linguistics (ACL)
Pages	471-477
Number of pages	7
Volume	2
ISBN (Electronic)	9781945626760
DOIs	https://doi.org/10.18653/v1/P17-2075
Publication status	Published - 2017
Externally published	Yes
Event	Annual Meeting of the Association of Computational Linguistics 2017 - Vancouver, Canada Duration: 30 Jul 2017 → 4 Aug 2017 Conference number: 55th https://www.aclweb.org/anthology/events/acl-2017/ (Proceedings)

Conference

Conference	Annual Meeting of the Association of Computational Linguistics 2017
Abbreviated title	ACL 2017
Country/Territory	Canada
City	Vancouver
Period	30/07/17 → 4/08/17
Internet address	https://www.aclweb.org/anthology/events/acl-2017/ (Proceedings)

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10.18653/v1/P17-2075

288969137-oaFinal published version, 220 KB

Cite this

Kim, S. M., Xu, Q., Qu, L., Wan, S., & Paris, C. (2017). Demographic inference on Twitter using recursive neural networks. In R. Barzilay, & M.-Y. Kan (Eds.), ACL 2017 - The 55th Annual Meeting of the Association for Computational Linguistics: Proceedings of the Conference, Vol. 2 (Short Papers) (Vol. 2, pp. 471-477). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/P17-2075

Kim, Sunghwan Mac ; Xu, Qiongkai ; Qu, Lizhen et al. / Demographic inference on Twitter using recursive neural networks. ACL 2017 - The 55th Annual Meeting of the Association for Computational Linguistics: Proceedings of the Conference, Vol. 2 (Short Papers). editor / Regina Barzilay ; Min-Yen Kan. Vol. 2 Stroudsburg PA USA : Association for Computational Linguistics (ACL), 2017. pp. 471-477

@inproceedings{7a1953a8dc6044aaab60dd00f9f6f250,

title = "Demographic inference on Twitter using recursive neural networks",

abstract = "In social media, demographic inference is a critical task in order to gain a better understanding of a cohort and to facilitate interacting with one{\textquoteright}s audience. Most previous work has made independence assumptions over topological, textual and label information on social networks. In this work, we employ recursive neural networks to break down these independence assumptions to obtain inference about demographic characteristics on Twitter. We show that our model performs better than existing models including the state-of-the-art.",

author = "Kim, {Sunghwan Mac} and Qiongkai Xu and Lizhen Qu and Stephen Wan and C{\'e}cile Paris",

year = "2017",

doi = "10.18653/v1/P17-2075",

language = "English",

volume = "2",

pages = "471--477",

editor = "Barzilay, {Regina } and Kan, {Min-Yen }",

booktitle = "ACL 2017 - The 55th Annual Meeting of the Association for Computational Linguistics",

publisher = "Association for Computational Linguistics (ACL)",

note = "Annual Meeting of the Association of Computational Linguistics 2017, ACL 2017 ; Conference date: 30-07-2017 Through 04-08-2017",

url = "https://www.aclweb.org/anthology/events/acl-2017/",

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Kim, SM, Xu, Q, Qu, L, Wan, S & Paris, C 2017, Demographic inference on Twitter using recursive neural networks. in R Barzilay & M-Y Kan (eds), ACL 2017 - The 55th Annual Meeting of the Association for Computational Linguistics: Proceedings of the Conference, Vol. 2 (Short Papers). vol. 2, Association for Computational Linguistics (ACL), Stroudsburg PA USA, pp. 471-477, Annual Meeting of the Association of Computational Linguistics 2017, Vancouver, British Columbia, Canada, 30/07/17. https://doi.org/10.18653/v1/P17-2075

Demographic inference on Twitter using recursive neural networks. / Kim, Sunghwan Mac; Xu, Qiongkai; Qu, Lizhen et al.
ACL 2017 - The 55th Annual Meeting of the Association for Computational Linguistics: Proceedings of the Conference, Vol. 2 (Short Papers). ed. / Regina Barzilay; Min-Yen Kan. Vol. 2 Stroudsburg PA USA: Association for Computational Linguistics (ACL), 2017. p. 471-477.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Demographic inference on Twitter using recursive neural networks

AU - Kim, Sunghwan Mac

AU - Xu, Qiongkai

AU - Qu, Lizhen

AU - Wan, Stephen

AU - Paris, Cécile

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PY - 2017

Y1 - 2017

N2 - In social media, demographic inference is a critical task in order to gain a better understanding of a cohort and to facilitate interacting with one’s audience. Most previous work has made independence assumptions over topological, textual and label information on social networks. In this work, we employ recursive neural networks to break down these independence assumptions to obtain inference about demographic characteristics on Twitter. We show that our model performs better than existing models including the state-of-the-art.

AB - In social media, demographic inference is a critical task in order to gain a better understanding of a cohort and to facilitate interacting with one’s audience. Most previous work has made independence assumptions over topological, textual and label information on social networks. In this work, we employ recursive neural networks to break down these independence assumptions to obtain inference about demographic characteristics on Twitter. We show that our model performs better than existing models including the state-of-the-art.

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U2 - 10.18653/v1/P17-2075

DO - 10.18653/v1/P17-2075

M3 - Conference Paper

AN - SCOPUS:85040608860

VL - 2

SP - 471

EP - 477

BT - ACL 2017 - The 55th Annual Meeting of the Association for Computational Linguistics

A2 - Barzilay, Regina

A2 - Kan, Min-Yen

PB - Association for Computational Linguistics (ACL)

CY - Stroudsburg PA USA

T2 - Annual Meeting of the Association of Computational Linguistics 2017

Y2 - 30 July 2017 through 4 August 2017

ER -

Kim SM, Xu Q, Qu L, Wan S, Paris C. Demographic inference on Twitter using recursive neural networks. In Barzilay R, Kan MY, editors, ACL 2017 - The 55th Annual Meeting of the Association for Computational Linguistics: Proceedings of the Conference, Vol. 2 (Short Papers). Vol. 2. Stroudsburg PA USA: Association for Computational Linguistics (ACL). 2017. p. 471-477 doi: 10.18653/v1/P17-2075

Demographic inference on Twitter using recursive neural networks

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