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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8"/>
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=yes"/>
<meta name="theme-color" content="#171519"/>
<title>IGOR TANNUS</title>
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<p class="text-center">IGOR TANNUS</p>
</div>
<ul class="menu text-center">
<li><a href="index.html" data-menu="about">ABOUT</a></li>
<li class="active"><a href="resume.html" data-menu="resume">RESUME</a></li>
<li><a href="talks.html" data-menu="talks">TALKS</a></li>
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<p><a href="resume.html"><i class="fa fa-chevron-left"></i></a> Go back to <a href="resume.html">Resume</a></p>
<p><strong>Research interests:</strong> big data, sentiment analysis, data mining.</p>
<p>Below you can find information about my work and read it! If you have any considerations
or suggestions, please don't hesitate to contact me!</p>
<section>
<p>Sentiment Analysis of Twitter Posts About the 2017 Academy Awards</p>
<ul>
<li><i class="fa fa-trophy"></i> Nominated for <strong>Undergraduate Best Paper</strong> at <a href="https://sol.sbc.org.br/index.php/eniac/issue/view/291"
target="_blank">ENIAC 2018</a> (<a href="http://portaldeconteudo.sbc.org.br/index.php/eniac/article/view/4427"
target="_blank">read proceedings</a>).</li>
<li>Read it! (PDF: <a href="files/paper.pdf">English</a> | <a href="files/sentimentos-oscar-2017.pdf">Português</a>)</li>
<li><a href="https://github.com/igoortc/oscar2017-tweets-database" target="_blank">Download</a> the database</li>
<li><a href="https://github.com/igoortc/tweets-preprocessor" target="_blank">Download</a> the pre-processing tool</li>
</ul>
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