An Embedding Model for Estimating Legislative Preferences from the Frequency and Sentiment of Tweets.

Gregory Spell; Brian Guay; Sunshine Hillygus; Lawrence Carin

doi:10.18653/V1/2020.EMNLP-MAIN.46

An Embedding Model for Estimating Legislative Preferences from the Frequency and Sentiment of Tweets.

Gregory Spell, Brian Guay, Sunshine Hillygus, Lawrence Carin

Research output: Contribution to conference › Paper › peer-review

Original language	English (US)
Pages	627-641
DOIs	https://doi.org/10.18653/V1/2020.EMNLP-MAIN.46
State	Published - 2020
Externally published	Yes

Access to Document

10.18653/V1/2020.EMNLP-MAIN.46

https://dblp.org/rec/conf/emnlp/SpellGHC20

Cite this

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title = "An Embedding Model for Estimating Legislative Preferences from the Frequency and Sentiment of Tweets.",

author = "Gregory Spell and Brian Guay and Sunshine Hillygus and Lawrence Carin",

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AU - Carin, Lawrence

N1 - DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

PY - 2020

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U2 - 10.18653/V1/2020.EMNLP-MAIN.46

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