@inproceedings{barberia-etal-2023-tweets,
title = "When Tweets Get Viral - A Deep Learning Approach for Stance Analysis of Covid-19 Vaccines Tweets by {B}razilian Political Elites",
author = "Barberia, Lorena and
Henrique Schmalz, Pedro and
Roman, Norton",
editor = "Souza, Jackson Wilke da Cruz and
Caseli, Helena de Medeiros and
Bocorny, Finatto Maria Jos{\'e}",
booktitle = "Proceedings of the 14th Brazilian Symposium in Information and Human Language Technology",
year = "2023",
address = "Belo Horizonte, Brazil",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.stil-1.11/",
pages = "113--123"
}<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="barberia-etal-2023-tweets">
<titleInfo>
<title>When Tweets Get Viral - A Deep Learning Approach for Stance Analysis of Covid-19 Vaccines Tweets by Brazilian Political Elites</title>
</titleInfo>
<name type="personal">
<namePart type="given">Lorena</namePart>
<namePart type="family">Barberia</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Pedro</namePart>
<namePart type="family">Henrique Schmalz</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Norton</namePart>
<namePart type="family">Roman</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2023</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the 14th Brazilian Symposium in Information and Human Language Technology</title>
</titleInfo>
<name type="personal">
<namePart type="given">Jackson</namePart>
<namePart type="given">Wilke</namePart>
<namePart type="given">da</namePart>
<namePart type="given">Cruz</namePart>
<namePart type="family">Souza</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Helena</namePart>
<namePart type="given">de</namePart>
<namePart type="given">Medeiros</namePart>
<namePart type="family">Caseli</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Finatto</namePart>
<namePart type="given">Maria</namePart>
<namePart type="given">José</namePart>
<namePart type="family">Bocorny</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">Belo Horizonte, Brazil</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<identifier type="citekey">barberia-etal-2023-tweets</identifier>
<location>
<url>https://aclanthology.org/2023.stil-1.11/</url>
</location>
<part>
<date>2023</date>
<extent unit="page">
<start>113</start>
<end>123</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T When Tweets Get Viral - A Deep Learning Approach for Stance Analysis of Covid-19 Vaccines Tweets by Brazilian Political Elites
%A Barberia, Lorena
%A Henrique Schmalz, Pedro
%A Roman, Norton
%Y Souza, Jackson Wilke da Cruz
%Y Caseli, Helena de Medeiros
%Y Bocorny, Finatto Maria José
%S Proceedings of the 14th Brazilian Symposium in Information and Human Language Technology
%D 2023
%I Association for Computational Linguistics
%C Belo Horizonte, Brazil
%F barberia-etal-2023-tweets
%U https://aclanthology.org/2023.stil-1.11/
%P 113-123
Markdown (Informal)
[When Tweets Get Viral - A Deep Learning Approach for Stance Analysis of Covid-19 Vaccines Tweets by Brazilian Political Elites](https://aclanthology.org/2023.stil-1.11/) (Barberia et al., STIL 2023)
ACL