-
Notifications
You must be signed in to change notification settings - Fork 8
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
close #11 - quick word cloud of swear words of reddit comments #13
base: master
Are you sure you want to change the base?
Changes from all commits
File filter
Filter by extension
Conversations
Jump to
Diff view
Diff view
There are no files selected for viewing
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -1,20 +1,24 @@ | ||
Package: sweary | ||
Type: Package | ||
Title: Database of Swear Words in R | ||
Version: 0.0.0.9000 | ||
Version: 0.0.0.9001 | ||
Authors@R: person("Patrik", "Drhlik", email = "[email protected]", | ||
role = c("aut", "cre")) | ||
Description: The packages tries to offer an extensive list of swear | ||
words from different languages, cherry picked by native speakers. | ||
It should then be used in different text analyses. | ||
URL: https://github.com/pdrhlik/sweary | ||
BugReports: https://github.com/pdrhlik/sweary/issues | ||
Depends: R (>= 2.10) | ||
Depends: R (>= 3.4.0) | ||
License: MIT | ||
Encoding: UTF-8 | ||
LazyData: true | ||
RoxygenNote: 6.0.1 | ||
Suggests: | ||
testthat, | ||
dplyr, | ||
purrr | ||
purrr, | ||
RedditExtractoR, | ||
stringi, | ||
wordcloud2 | ||
Remotes: lchiffon/wordcloud2 |
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1 @@ | ||
`ggsci.css` was borrowed from [`ggsci`](https://github.com/road2stat/ggsci/tree/master/vignettes) package |
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,215 @@ | ||
body { | ||
background-color: #fff; | ||
margin: 1em auto; | ||
max-width: 800px; | ||
overflow: visible; | ||
padding-left: 2em; | ||
padding-right: 2em; | ||
font-family: "Palatino Linotype", "Book Antiqua", Palatino, serif; | ||
font-size: 16px; | ||
line-height: 1.35; | ||
} | ||
|
||
#header { | ||
text-align: center; | ||
} | ||
|
||
#TOC { | ||
clear: both; | ||
margin: 0 0 10px 0px; | ||
padding: 15px; | ||
width: 770px; | ||
border: 1px solid #CCCCCC; | ||
border-radius: 5px; | ||
|
||
background-color: #f6f6f6; | ||
font-size: 16px; | ||
line-height: 1.5; | ||
} | ||
#TOC .toctitle { | ||
font-weight: bold; | ||
font-size: 16px; | ||
margin-left: 5px; | ||
} | ||
|
||
#TOC ul { | ||
padding-left: 50px; | ||
margin-left: -1.5em; | ||
margin-top: 5px; | ||
margin-bottom: 5px; | ||
} | ||
#TOC ul ul { | ||
margin-left: -2em; | ||
} | ||
#TOC li { | ||
line-height: 20px; | ||
} | ||
|
||
table { | ||
margin: 1em auto; | ||
border-width: 1px; | ||
border-color: #DDDDDD; | ||
border-style: outset; | ||
border-collapse: collapse; | ||
} | ||
table th { | ||
border-width: 2px; | ||
padding: 5px; | ||
border-style: inset; | ||
} | ||
table td { | ||
border-width: 1px; | ||
border-style: inset; | ||
line-height: 18px; | ||
padding: 5px 5px; | ||
} | ||
table, table th, table td { | ||
border-left-style: none; | ||
border-right-style: none; | ||
} | ||
table thead, table tr.even { | ||
background-color: #f7f7f7; | ||
} | ||
|
||
p { | ||
margin: 0.5em 0; | ||
} | ||
|
||
blockquote { | ||
background-color: #f6f6f6; | ||
padding: 0.25em 0.75em; | ||
} | ||
|
||
hr { | ||
border-style: solid; | ||
border: none; | ||
border-top: 1px solid #777; | ||
margin: 28px 0; | ||
} | ||
|
||
dl { | ||
margin-left: 0; | ||
} | ||
dl dd { | ||
margin-bottom: 13px; | ||
margin-left: 13px; | ||
} | ||
dl dt { | ||
font-weight: bold; | ||
} | ||
|
||
ul { | ||
margin-top: 0; | ||
} | ||
ul li { | ||
list-style: circle outside; | ||
} | ||
ul ul { | ||
margin-bottom: 0; | ||
} | ||
|
||
pre, code { | ||
background-color: #f7f7f7; | ||
border-radius: 5px; | ||
color: #333; | ||
white-space: pre-wrap; /* Wrap long lines */ | ||
} | ||
pre { | ||
border-radius: 5px; | ||
margin: 5px 0px 10px 0px; | ||
padding: 10px; | ||
} | ||
pre:not([class]) { | ||
background-color: #f7f7f7; | ||
} | ||
|
||
code { | ||
font-family: "Lucida Console", Monaco, Consolas, 'Courier New', monospace; | ||
font-size: 85%; | ||
} | ||
p > code, li > code { | ||
padding: 2px 0px; | ||
} | ||
|
||
div.figure { | ||
text-align: center; | ||
} | ||
img { | ||
background-color: #FFFFFF; | ||
padding: 2px; | ||
border: 1px solid #DDDDDD; | ||
border-radius: 3px; | ||
border: 1px solid #CCCCCC; | ||
margin: 0 5px; | ||
} | ||
|
||
h1 { | ||
margin-top: 25px; | ||
font-size: 35px; | ||
line-height: 40px; | ||
} | ||
|
||
h2 { | ||
border-bottom: 2px solid #f7f7f7; | ||
padding-top: 10px; | ||
padding-bottom: 2px; | ||
font-size: 145%; | ||
} | ||
|
||
h3 { | ||
border-bottom: 1px solid #f7f7f7; | ||
padding-top: 10px; | ||
font-size: 120%; | ||
} | ||
|
||
h4 { | ||
margin-left: 8px; | ||
font-size: 105%; | ||
} | ||
|
||
em { | ||
font-style: normal; | ||
} | ||
|
||
emph { | ||
font-style: oblique; | ||
} | ||
|
||
h5, h6 { | ||
border-bottom: 1px solid #ccc; | ||
font-size: 105%; | ||
} | ||
|
||
a { | ||
color: #123d79; | ||
text-decoration: none; | ||
} | ||
a:hover { | ||
color: #007CC3; } | ||
a:visited { | ||
color: #581858; } | ||
a:visited:hover { | ||
color: #007CC3; } | ||
|
||
/* code highlight theme: highlight.js - tomorrow | ||
http://jmblog.github.io/color-themes-for-highlightjs/tomorrow/ | ||
*/ | ||
|
||
code > span.kw { color: #4271ae; } /* Keyword */ | ||
code > span.dt { color: #c82829; } /* DataType */ | ||
code > span.dv { color: #f5871f; } /* DecVal (decimal values) */ | ||
code > span.bn { color: #718c00; } /* BaseN */ | ||
code > span.fl { color: #718c00; } /* Float */ | ||
code > span.ch { color: #718c00; } /* Char */ | ||
code > span.st { color: #718c00; } /* String */ | ||
code > span.co { color: #8e908c; } /* Comment */ | ||
code > span.ot { color: #4d4d4c; } /* OtherToken */ | ||
code > span.al { color: #ff0000; } /* AlertToken */ | ||
code > span.fu { color: #4271ae; } /* Function calls */ | ||
code > span.er { color: #a61717; } /* ErrorTok */ | ||
|
||
/* centering images */ | ||
img { | ||
display: block; | ||
margin: 0 auto; | ||
} |
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,80 @@ | ||
--- | ||
title: Word cloud of swear-words from reddit comments | ||
author: Related to Trump | ||
output: | ||
html_document: | ||
mathjax: default | ||
fig_caption: true | ||
toc: true | ||
section_numbering: true | ||
css: ggsci.css | ||
vignette: > | ||
%\VignetteEngine{knitr::rmarkdown} | ||
%\VignetteIndexEntry{Word cloud of swear-words from reddit comments} | ||
--- | ||
```{r include = FALSE} | ||
library(knitr) | ||
opts_chunk$set( | ||
comment = "", | ||
fig.width = 12, | ||
message = FALSE, | ||
warning = FALSE, | ||
tidy.opts = list( | ||
keep.blank.line = TRUE, | ||
width.cutoff = 150 | ||
), | ||
options(width = 150), | ||
eval = TRUE | ||
) | ||
``` | ||
|
||
|
||
```{r} | ||
library(sweary);library(dplyr) | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Put the library calls on separate lines. |
||
swear_words %>% | ||
count(language) | ||
``` | ||
|
||
|
||
|
||
```{r} | ||
library(RedditExtractoR) | ||
reddit_comments <- | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. This piece of code produces a lot of mess while downloading the comments. | We don't want that in the vignette. |
||
get_reddit( | ||
search_terms = 'trump', | ||
subreddit = 'politics', | ||
cn_threshold = 10 | ||
) | ||
dim(reddit_comments) | ||
``` | ||
|
||
```{r} | ||
# top_1000_scored <- | ||
# reddit_comments %>% | ||
# dplyr::arrange(desc(comment_score)) %>% | ||
# head(1000) | ||
``` | ||
```{r} | ||
reddit_swear_words <- | ||
#top_1000_scored$comment %>% | ||
reddit_comments$comment %>% | ||
stringi::stri_extract_all_words() %>% | ||
unlist %>% | ||
tolower %>% | ||
data.frame(word = ., stringsAsFactors = FALSE) %>% | ||
inner_join( | ||
swear_words %>% filter(language == 'en') | ||
) | ||
|
||
reddit_swear_words %>% | ||
count(word) | ||
``` | ||
|
||
```{r} | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Missing |
||
reddit_swear_words %>% | ||
count(word) %>% | ||
rename(freq = n) %>% | ||
wordcloud2() | ||
``` | ||
|
||
|
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
I wouldn't change development versions. It moves pretty fast. I would keep this 0.0.0.9000 until ve decide on releasing something like v0.1.