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<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta charset="utf-8" />
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<meta name="generator" content="pandoc" />
<title>Extracting data from Twitter for #machinelearningflashcards</title>
<script src="twitter-ml-flashcards_files/jquery-1.11.3/jquery.min.js"></script>
<meta name="viewport" content="width=device-width, initial-scale=1" />
<link href="twitter-ml-flashcards_files/bootstrap-3.3.5/css/bootstrap.min.css" rel="stylesheet" />
<script src="twitter-ml-flashcards_files/bootstrap-3.3.5/js/bootstrap.min.js"></script>
<script src="twitter-ml-flashcards_files/bootstrap-3.3.5/shim/html5shiv.min.js"></script>
<script src="twitter-ml-flashcards_files/bootstrap-3.3.5/shim/respond.min.js"></script>
<script src="twitter-ml-flashcards_files/navigation-1.1/tabsets.js"></script>
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<div class="fluid-row" id="header">
<h1 class="title toc-ignore">Extracting data from Twitter for #machinelearningflashcards</h1>
</div>
<p>I’m a fan of <a href="https://chrisalbon.com/">Chris Albon</a>’s recent project <a href="https://twitter.com/hashtag/machinelearningflashcards?src=hash">#machinelearningflashcards</a> on Twitter where generalized topics and methodologies are drawn out with key takeaways. It’s a great approach to sharing concepts about machine learning for everyone and a timely refresher for those of us who frequently forget algorithm basics.</p>
<p>I leveraged <a href="https://github.com/maelle">Maëlle Salmon</a>’s recent blog post on the <a href="http://www.masalmon.eu/2017/03/19/facesofr/"><em>Faces of #rstats Twitter</em></a> heavily as a tutorial for this attempt at extracting data from Twitter to download the #Machinelearningflashcards.</p>
<p>Source Repo for this work: <a href="https://github.com/jasdumas/ml-flashcards">jasdumas/ml-flashcards</a> ___</p>
<div id="directions" class="section level2">
<h2>Directions</h2>
<ul>
<li>Load libraries:</li>
</ul>
<p>For this project I used <code>rtweet</code> to connect the Twitter API to search for relevant tweets by the hash tag, <code>dplyr</code> to filter and pipe things, <code>stringr</code> to clean up the tweet description, and <code>magick</code> to process the images.</p>
<p>Note: I previously ran into trouble when downloading <a href="https://www.imagemagick.org/script/index.php"><em>ImageMagick</em></a> and detailed the errors and approaches, if you fall into the same trap I did: <a href="https://gist.github.com/jasdumas/29caf5a9ce0104aa6bf14183ee1e3cd8" class="uri">https://gist.github.com/jasdumas/29caf5a9ce0104aa6bf14183ee1e3cd8</a></p>
<pre class="r"><code>library(rtweet)
library(dplyr)
library(magick)
library(stringr)</code></pre>
<ul>
<li>Get tweets for the hash tag and only curated tweets for Chris Albon’s work:</li>
</ul>
<pre class="r"><code>ml_tweets <- search_tweets("#machinelearningflashcards", n = 500, include_rts = FALSE) %>% filter(screen_name == 'chrisalbon')</code></pre>
<pre class="r"><code>library(kableExtra)
library(knitr)
mt <- head(ml_tweets)
kable(mt, format = "html") %>%
kable_styling(bootstrap_options = "striped",
full_width = F) </code></pre>
<?xml version="1.0" encoding="UTF-8"?>
<table class="table table-striped" style="width: auto !important; margin-left: auto; margin-right: auto;">
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lang
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source
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chrisalbon
</td>
<td style="text-align:left;">
11518572
</td>
<td style="text-align:left;">
2017-05-08 22:16:26
</td>
<td style="text-align:left;">
861706382877147136
</td>
<td style="text-align:left;">
Ridge Regression #machinelearningflashcards <a href="https://t.co/yEuyM7TkaT" class="uri">https://t.co/yEuyM7TkaT</a>
</td>
<td style="text-align:right;">
2
</td>
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5
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FALSE
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en
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Machine Learning Flashcards
</td>
<td style="text-align:left;">
861706380352249857
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<a href="http://pbs.twimg.com/media/C_VlYy2VYAEctP6.jpg" class="uri">http://pbs.twimg.com/media/C_VlYy2VYAEctP6.jpg</a>
</td>
<td style="text-align:left;">
<a href="https://twitter.com/chrisalbon/status/861706382877147136/photo/1" class="uri">https://twitter.com/chrisalbon/status/861706382877147136/photo/1</a>
</td>
<td style="text-align:left;">
NA
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<td style="text-align:left;">
NA
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NA
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<td style="text-align:left;">
NA
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<td style="text-align:left;">
NA
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NA
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machinelearningflashcards
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NA
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NA
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NA
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NA
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NA
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NA
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NA
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NA
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NA
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chrisalbon
</td>
<td style="text-align:left;">
11518572
</td>
<td style="text-align:left;">
2017-05-08 18:36:52
</td>
<td style="text-align:left;">
861651129251135488
</td>
<td style="text-align:left;">
Euclidean Norm #machinelearningflashcards <a href="https://t.co/gCCCw9ZswA" class="uri">https://t.co/gCCCw9ZswA</a>
</td>
<td style="text-align:right;">
1
</td>
<td style="text-align:right;">
6
</td>
<td style="text-align:left;">
FALSE
</td>
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NA
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<td style="text-align:left;">
FALSE
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<td style="text-align:left;">
NA
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<td style="text-align:left;">
NA
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NA
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<td style="text-align:left;">
NA
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en
</td>
<td style="text-align:left;">
Machine Learning Flashcards
</td>
<td style="text-align:left;">
861651127187554304
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<td style="text-align:left;">
<a href="http://pbs.twimg.com/media/C_UzIoxUQAA2VHH.jpg" class="uri">http://pbs.twimg.com/media/C_UzIoxUQAA2VHH.jpg</a>
</td>
<td style="text-align:left;">
<a href="https://twitter.com/chrisalbon/status/861651129251135488/photo/1" class="uri">https://twitter.com/chrisalbon/status/861651129251135488/photo/1</a>
</td>
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NA
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NA
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NA
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NA
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NA
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NA
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machinelearningflashcards
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NA
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NA
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NA
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NA
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NA
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NA
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NA
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NA
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NA
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chrisalbon
</td>
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11518572
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<td style="text-align:left;">
2017-05-08 16:35:43
</td>
<td style="text-align:left;">
861620640297631744
</td>
<td style="text-align:left;">
What Are Principal Components #machinelearningflashcards <a href="https://t.co/bpagWQb7ev" class="uri">https://t.co/bpagWQb7ev</a>
</td>
<td style="text-align:right;">
5
</td>
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17
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NA
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NA
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NA
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en
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Machine Learning Flashcards
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861620637982314496
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<a href="http://pbs.twimg.com/media/C_UXZ7oU0AAHKfS.jpg" class="uri">http://pbs.twimg.com/media/C_UXZ7oU0AAHKfS.jpg</a>
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<a href="https://twitter.com/chrisalbon/status/861620640297631744/photo/1" class="uri">https://twitter.com/chrisalbon/status/861620640297631744/photo/1</a>
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NA
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<td style="text-align:left;">
NA
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NA
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NA
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NA
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NA
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machinelearningflashcards
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NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
</tr>
<tr>
<td style="text-align:left;">
chrisalbon
</td>
<td style="text-align:left;">
11518572
</td>
<td style="text-align:left;">
2017-05-05 22:52:34
</td>
<td style="text-align:left;">
860628312476930048
</td>
<td style="text-align:left;">
MSE vs MAE #machinelearningflashcards <a href="https://t.co/urqRnNfEFD" class="uri">https://t.co/urqRnNfEFD</a>
</td>
<td style="text-align:right;">
3
</td>
<td style="text-align:right;">
3
</td>
<td style="text-align:left;">
FALSE
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
FALSE
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
tl
</td>
<td style="text-align:left;">
Machine Learning Flashcards
</td>
<td style="text-align:left;">
860628310711091200
</td>
<td style="text-align:left;">
<a href="http://pbs.twimg.com/media/C_GQ44eUQAAATkI.jpg" class="uri">http://pbs.twimg.com/media/C_GQ44eUQAAATkI.jpg</a>
</td>
<td style="text-align:left;">
<a href="https://twitter.com/chrisalbon/status/860628312476930048/photo/1" class="uri">https://twitter.com/chrisalbon/status/860628312476930048/photo/1</a>
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
machinelearningflashcards
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
</tr>
<tr>
<td style="text-align:left;">
chrisalbon
</td>
<td style="text-align:left;">
11518572
</td>
<td style="text-align:left;">
2017-05-05 18:25:35
</td>
<td style="text-align:left;">
860561126970372096
</td>
<td style="text-align:left;">
Convex Hulls and Support Vector Machines #machinelearningflashcards <a href="https://t.co/Uopa3NkXNu" class="uri">https://t.co/Uopa3NkXNu</a>
</td>
<td style="text-align:right;">
2
</td>
<td style="text-align:right;">
15
</td>
<td style="text-align:left;">
FALSE
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
FALSE
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
en
</td>
<td style="text-align:left;">
Machine Learning Flashcards
</td>
<td style="text-align:left;">
860561124390862848
</td>
<td style="text-align:left;">
<a href="http://pbs.twimg.com/media/C_FTyH7UAAAUKiI.jpg" class="uri">http://pbs.twimg.com/media/C_FTyH7UAAAUKiI.jpg</a>
</td>
<td style="text-align:left;">
<a href="https://twitter.com/chrisalbon/status/860561126970372096/photo/1" class="uri">https://twitter.com/chrisalbon/status/860561126970372096/photo/1</a>
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
machinelearningflashcards
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
</tr>
<tr>
<td style="text-align:left;">
chrisalbon
</td>
<td style="text-align:left;">
11518572
</td>
<td style="text-align:left;">
2017-05-05 16:27:32
</td>
<td style="text-align:left;">
860531419335991297
</td>
<td style="text-align:left;">
t tests #machinelearningflashcards <a href="https://t.co/XsaDSgCtEI" class="uri">https://t.co/XsaDSgCtEI</a>
</td>
<td style="text-align:right;">
5
</td>
<td style="text-align:right;">
20
</td>
<td style="text-align:left;">
FALSE
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
FALSE
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
en
</td>
<td style="text-align:left;">
Machine Learning Flashcards
</td>
<td style="text-align:left;">
860531415900749824
</td>
<td style="text-align:left;">
<a href="http://pbs.twimg.com/media/C_E4w3LUAAAfp2X.jpg" class="uri">http://pbs.twimg.com/media/C_E4w3LUAAAfp2X.jpg</a>
</td>
<td style="text-align:left;">
<a href="https://twitter.com/chrisalbon/status/860531419335991297/photo/1" class="uri">https://twitter.com/chrisalbon/status/860531419335991297/photo/1</a>
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
machinelearningflashcards
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
</tr>
</tbody>
</table>
<ul>
<li>Get text within the tweet to add to the file name by removing the hash tag and URL link:</li>
</ul>
<pre class="r"><code>ml_tweets$clean_text <- ml_tweets$text
ml_tweets$clean_text <- str_replace(ml_tweets$clean_text,"#[a-zA-Z0-9]{1,}", "") # remove the hashtag
ml_tweets$clean_text <- str_replace(ml_tweets$clean_text, " ?(f|ht)(tp)(s?)(://)(.*)[.|/](.*)", "") # remove the url link
ml_tweets$clean_text <- str_replace(ml_tweets$clean_text, "[[:punct:]]", "") # remove punctuation</code></pre>
<ul>
<li>Download images of the flashcards from the <code>media_url</code> column and append the file name from the cleaned tweet text description and save into a folder:</li>
</ul>
<pre class="r"><code>save_image <- function(df){
for (i in c(1:nrow(df))){
image <- try(image_read(df$media_url[i]), silent = F)
if(class(image)[1] != "try-error"){
image %>%
image_scale("1200x700") %>%
image_write(paste0("data/", ml_tweets$clean_text[i],".jpg"))
}
}
cat("Function complete...\n")
}</code></pre>
<ul>
<li>Apply the function:</li>
</ul>
<pre class="r"><code>save_image(ml_tweets)</code></pre>
<pre><code>## Function complete...</code></pre>
<p>At the end of this process you can view all of the #machinelearningflashcards in one place! Thanks to Chris Albon for his work on this, and I’m looking forward to re-running this script to gain additional knowledge from new #machinelearningflashcards that are developed in the future!</p>
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