<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Manipulação de dados on Renata Oliveira</title><link>/tag/manipulacao-de-dados/</link><description>Recent content in Manipulação de dados on Renata Oliveira</description><generator>Source Themes academia (https://sourcethemes.com/academic/)</generator><language>en-us</language><lastBuildDate>Sun, 27 Dec 2020 13:08:19 -0300</lastBuildDate><atom:link href="/tag/manipulacao-de-dados/index.xml" rel="self" type="application/rss+xml"/><item><title>Mineração de Texto</title><link>/post/2020-12-27-mineracao-de-texto-copia/</link><pubDate>Sun, 27 Dec 2020 13:08:19 -0300</pubDate><guid>/post/2020-12-27-mineracao-de-texto-copia/</guid><description>&lt;h2 id="dicionário-de-dados-do-twitter">Dicionário de dados do Twitter&lt;/h2>
&lt;p>&lt;a href="https://developer.twitter.com/en/docs/twitter-api/data-dictionary/introduction">Data dictionary&lt;/a>&lt;/p>
&lt;h2 id="sentimentos-no-twitter-para-csv">Sentimentos no Twitter para CSV&lt;/h2>
&lt;p>O download do arquivo .csv do Twitter a partir de termos de busca pode ser feito no site &lt;a href="https://twitter-sentiment-csv.herokuapp.com/">Tweet Sentiment to CSV&lt;/a>. São 100 tweets sobre o termos pesquisado.&lt;/p>
&lt;h2 id="links-interessantes-sobre-esse-tópico-são">Links interessantes sobre esse tópico são:&lt;/h2>
&lt;ul>
&lt;li>&lt;a href="https://www.abraji.org.br/help-desk/como-investigar-tweets-com-rtweet-e-r">Como investigar tweets com rtweet r R by Abraji&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://cran.r-project.org/web/packages/rtweet/vignettes/intro.html">Intro to rtweet: Collecting Twitter Data by Michael W. Kearney&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://paulovasconcellos.com.br/aprenda-a-fazer-um-analisador-de-sentimentos-do-twitter-em-python-3979454f2d0d">Aprenda a fazer um Analisador de Sentimentos do Twitter em Python by Paulo Vasconcellos&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://www.earthdatascience.org/courses/earth-analytics/get-data-using-apis/use-twitter-api-r/">Twitter Data in R Using Rtweet by Leah Wasser, Carson Farmer&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://github.com/marianacrtx/tweets">Github Mariana Cartaxo&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://rstudio-pubs-static.s3.amazonaws.com/66739_c4422a1761bd4ee0b0bb8821d7780e12.html">Text Mining example codes (tweets)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://neylsoncrepalde.github.io/2016-11-18-ocupacao-na-ufmg-e-interevencao-policial/">Ocupação na UFMG e intervenção policial - Twitter by Neylson Crepalde&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://github.com/juditecypreste/Aprenda-Python-analisando-os-tuites-do-nosso-presidente">Github Judite Cypreste&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://medium.com/@arthuremanuel.carosia/an%C3%A1lise-de-sentimentos-no-twitter-sobre-o-governo-bolsonaro-15396a22e757">Análise de Sentimentos no Twitter Sobre o Governo Bolsonaro by Arthur Carosia&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://towardsdatascience.com/a-guide-to-mining-and-analysing-tweets-with-r-2f56818fdd16">A Guide to Mining and Analysing Tweets with R by Céline Van den Rul&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://medium.com/@celine.vdr/mining-tweets-of-us-candidates-on-mass-shootings-before-and-after-the-2018-midterms-90cc18ff652a">Mining Tweets of US candidates on mass shootings before and after the 2018 midterms by Céline Van den Rul&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://neylsoncrepalde.github.io/2016-03-18-analise-de-conteudo-twitter/">Análise de Conteúdo (twitteR) by Nelson Crepalde&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://github.com/vineetdhanawat/twitter-sentiment-analysis">Twitter sentiment analysis&lt;/a>&lt;/li>
&lt;/ul>
&lt;h2 id="conteúdo-adicional">Conteúdo adicional&lt;/h2>
&lt;p>Text Mining and Analytics, University of Illinois at Urbana-Champaign: &lt;a href="https://www.coursera.org/learn/text-mining/home/info">https://www.coursera.org/learn/text-mining/home/info&lt;/a>.&lt;/p>
&lt;p>Text Mining with R: A Tidy Approach, Julia Silge and David Robinson: &lt;a href="http://tidytextmining.com/">http://tidytextmining.com/&lt;/a>.&lt;/p>
&lt;p>Intro to Text mining using R, Ted Kwartler: &lt;a href="https://opendatascience.com/conferences/ted-kwartler-intro-to-text-mining-using-r/">https://opendatascience.com/conferences/ted-kwartler-intro-to-text-mining-using-r/&lt;/a>.&lt;/p>
&lt;p>Intro to Text Mining Using tm, openNLP and topicmodels, Ted Kwartler: &lt;a href="http://www.slideshare.net/odsc/tedkwartlerworkshop1">http://www.slideshare.net/odsc/tedkwartlerworkshop1&lt;/a>.&lt;/p>
&lt;p>Text Mining: An Overview, David Madigan: &lt;a href="http://www.stat.columbia.edu/~madigan/W2025/notes/IntroTextMining.pdf">http://www.stat.columbia.edu/~madigan/W2025/notes/IntroTextMining.pdf&lt;/a>.&lt;/p>
&lt;p>Text-Mining Tutorial, Marko Grobelnik e Dunja Mladenic: &lt;a href="http://profs.info.uaic.ro/~adiftene/Scoala/2012/APLN/Resurse/03_TM/Tutorial_Marko.pdf">http://profs.info.uaic.ro/~adiftene/Scoala/2012/APLN/Resurse/03_TM/Tutorial_Marko.pdf&lt;/a>.&lt;/p>
&lt;p>Text mining, Ian H. Witten: &lt;a href="http://www.cos.ufrj.br/~jano/LinkedDocuments/_papers/aula13/04-IHW-Textmining.pdf">http://www.cos.ufrj.br/~jano/LinkedDocuments/_papers/aula13/04-IHW-Textmining.pdf&lt;/a>.&lt;/p>
&lt;p>Text Mining: Applications and Theory, Michael W. Berry e Jacob Kogan: &lt;a href="http://www.mohamedrabeea.com/books/book1_1165.pdf">http://www.mohamedrabeea.com/books/book1_1165.pdf&lt;/a>.&lt;/p>
&lt;p>Web Search and Text analysis: &lt;a href="https://www.williamwebber.com/research/teaching/comp90042/2014s1/">https://www.williamwebber.com/research/teaching/comp90042/2014s1/&lt;/a>.&lt;/p>
&lt;p>CS 6501: Text Mining: &lt;a href="http://www.cs.virginia.edu/~hw5x/Course/CS6501-Text-Mining/_site/lectures/">http://www.cs.virginia.edu/~hw5x/Course/CS6501-Text-Mining/_site/lectures/&lt;/a>.
Speech and Language Processing: &lt;a href="https://web.stanford.edu/~jurafsky/slp3/">https://web.stanford.edu/~jurafsky/slp3/&lt;/a>.&lt;/p>
&lt;p>CETEMPúblico: &lt;a href="http://www.linguateca.pt/acesso/corpus.php?corpus=CETEMPUBLICO">http://www.linguateca.pt/acesso/corpus.php?corpus=CETEMPUBLICO&lt;/a>.&lt;/p>
&lt;p>An Introduction to Text Mining: &lt;a href="http://port.sas.ac.uk/course/view.php?id=53">http://port.sas.ac.uk/course/view.php?id=53&lt;/a>.&lt;/p>
&lt;p>Similarity Measures for Text Document Clustering.
Sobre a construção de um léxico da afetividade para o processamento computacional do português.
Evaluating CETEMPúblico, a free resource for Portuguese.
Working on Sentiment Analysis on Twitter with Portuguese Language.
Sentiment Analysis on Twitter Data for Portuguese Language.
Sentiment Analysis Using R Language.
Sentiment analysis with machine learning in R.
SentimentAnalysis package.&lt;/p></description></item><item><title>Mineração de Texto</title><link>/post/2020-12-27-mineracao-de-texto/</link><pubDate>Sun, 27 Dec 2020 13:08:19 -0300</pubDate><guid>/post/2020-12-27-mineracao-de-texto/</guid><description>&lt;h2 id="dicionário-de-dados-do-twitter">Dicionário de dados do Twitter&lt;/h2>
&lt;p>&lt;a href="https://developer.twitter.com/en/docs/twitter-api/data-dictionary/introduction">Data dictionary&lt;/a>&lt;/p>
&lt;h2 id="sentimentos-no-twitter-para-csv">Sentimentos no Twitter para CSV&lt;/h2>
&lt;p>O download do arquivo .csv do Twitter a partir de termos de busca pode ser feito no site &lt;a href="https://twitter-sentiment-csv.herokuapp.com/">Tweet Sentiment to CSV&lt;/a>. São 100 tweets sobre o termos pesquisado.&lt;/p>
&lt;h2 id="links-interessantes-sobre-esse-tópico-são">Links interessantes sobre esse tópico são:&lt;/h2>
&lt;ul>
&lt;li>&lt;a href="https://www.abraji.org.br/help-desk/como-investigar-tweets-com-rtweet-e-r">Como investigar tweets com rtweet r R by Abraji&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://cran.r-project.org/web/packages/rtweet/vignettes/intro.html">Intro to rtweet: Collecting Twitter Data by Michael W. Kearney&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://paulovasconcellos.com.br/aprenda-a-fazer-um-analisador-de-sentimentos-do-twitter-em-python-3979454f2d0d">Aprenda a fazer um Analisador de Sentimentos do Twitter em Python by Paulo Vasconcellos&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://www.earthdatascience.org/courses/earth-analytics/get-data-using-apis/use-twitter-api-r/">Twitter Data in R Using Rtweet by Leah Wasser, Carson Farmer&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://github.com/marianacrtx/tweets">Github Mariana Cartaxo&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://rstudio-pubs-static.s3.amazonaws.com/66739_c4422a1761bd4ee0b0bb8821d7780e12.html">Text Mining example codes (tweets)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://neylsoncrepalde.github.io/2016-11-18-ocupacao-na-ufmg-e-interevencao-policial/">Ocupação na UFMG e intervenção policial - Twitter by Neylson Crepalde&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://github.com/juditecypreste/Aprenda-Python-analisando-os-tuites-do-nosso-presidente">Github Judite Cypreste&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://medium.com/@arthuremanuel.carosia/an%C3%A1lise-de-sentimentos-no-twitter-sobre-o-governo-bolsonaro-15396a22e757">Análise de Sentimentos no Twitter Sobre o Governo Bolsonaro by Arthur Carosia&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://towardsdatascience.com/a-guide-to-mining-and-analysing-tweets-with-r-2f56818fdd16">A Guide to Mining and Analysing Tweets with R by Céline Van den Rul&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://medium.com/@celine.vdr/mining-tweets-of-us-candidates-on-mass-shootings-before-and-after-the-2018-midterms-90cc18ff652a">Mining Tweets of US candidates on mass shootings before and after the 2018 midterms by Céline Van den Rul&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://neylsoncrepalde.github.io/2016-03-18-analise-de-conteudo-twitter/">Análise de Conteúdo (twitteR) by Nelson Crepalde&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://github.com/vineetdhanawat/twitter-sentiment-analysis">Twitter sentiment analysis&lt;/a>&lt;/li>
&lt;/ul>
&lt;h2 id="conteúdo-adicional">Conteúdo adicional&lt;/h2>
&lt;p>Text Mining and Analytics, University of Illinois at Urbana-Champaign: &lt;a href="https://www.coursera.org/learn/text-mining/home/info">https://www.coursera.org/learn/text-mining/home/info&lt;/a>.&lt;/p>
&lt;p>Text Mining with R: A Tidy Approach, Julia Silge and David Robinson: &lt;a href="http://tidytextmining.com/">http://tidytextmining.com/&lt;/a>.&lt;/p>
&lt;p>Intro to Text mining using R, Ted Kwartler: &lt;a href="https://opendatascience.com/conferences/ted-kwartler-intro-to-text-mining-using-r/">https://opendatascience.com/conferences/ted-kwartler-intro-to-text-mining-using-r/&lt;/a>.&lt;/p>
&lt;p>Intro to Text Mining Using tm, openNLP and topicmodels, Ted Kwartler: &lt;a href="http://www.slideshare.net/odsc/tedkwartlerworkshop1">http://www.slideshare.net/odsc/tedkwartlerworkshop1&lt;/a>.&lt;/p>
&lt;p>Text Mining: An Overview, David Madigan: &lt;a href="http://www.stat.columbia.edu/~madigan/W2025/notes/IntroTextMining.pdf">http://www.stat.columbia.edu/~madigan/W2025/notes/IntroTextMining.pdf&lt;/a>.&lt;/p>
&lt;p>Text-Mining Tutorial, Marko Grobelnik e Dunja Mladenic: &lt;a href="http://profs.info.uaic.ro/~adiftene/Scoala/2012/APLN/Resurse/03_TM/Tutorial_Marko.pdf">http://profs.info.uaic.ro/~adiftene/Scoala/2012/APLN/Resurse/03_TM/Tutorial_Marko.pdf&lt;/a>.&lt;/p>
&lt;p>Text mining, Ian H. Witten: &lt;a href="http://www.cos.ufrj.br/~jano/LinkedDocuments/_papers/aula13/04-IHW-Textmining.pdf">http://www.cos.ufrj.br/~jano/LinkedDocuments/_papers/aula13/04-IHW-Textmining.pdf&lt;/a>.&lt;/p>
&lt;p>Text Mining: Applications and Theory, Michael W. Berry e Jacob Kogan: &lt;a href="http://www.mohamedrabeea.com/books/book1_1165.pdf">http://www.mohamedrabeea.com/books/book1_1165.pdf&lt;/a>.&lt;/p>
&lt;p>Web Search and Text analysis: &lt;a href="https://www.williamwebber.com/research/teaching/comp90042/2014s1/">https://www.williamwebber.com/research/teaching/comp90042/2014s1/&lt;/a>.&lt;/p>
&lt;p>CS 6501: Text Mining: &lt;a href="http://www.cs.virginia.edu/~hw5x/Course/CS6501-Text-Mining/_site/lectures/">http://www.cs.virginia.edu/~hw5x/Course/CS6501-Text-Mining/_site/lectures/&lt;/a>.
Speech and Language Processing: &lt;a href="https://web.stanford.edu/~jurafsky/slp3/">https://web.stanford.edu/~jurafsky/slp3/&lt;/a>.&lt;/p>
&lt;p>CETEMPúblico: &lt;a href="http://www.linguateca.pt/acesso/corpus.php?corpus=CETEMPUBLICO">http://www.linguateca.pt/acesso/corpus.php?corpus=CETEMPUBLICO&lt;/a>.&lt;/p>
&lt;p>An Introduction to Text Mining: &lt;a href="http://port.sas.ac.uk/course/view.php?id=53">http://port.sas.ac.uk/course/view.php?id=53&lt;/a>.&lt;/p>
&lt;p>Similarity Measures for Text Document Clustering.
Sobre a construção de um léxico da afetividade para o processamento computacional do português.
Evaluating CETEMPúblico, a free resource for Portuguese.
Working on Sentiment Analysis on Twitter with Portuguese Language.
Sentiment Analysis on Twitter Data for Portuguese Language.
Sentiment Analysis Using R Language.
Sentiment analysis with machine learning in R.
SentimentAnalysis package.&lt;/p></description></item></channel></rss>