Created
October 2, 2015 14:16
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library(ROAuth) | |
requestURL <- "https://api.twitter.com/oauth/request_token" | |
accessURL <- "https://api.twitter.com/oauth/access_token" | |
authURL <- "https://api.twitter.com/oauth/authorize" | |
consumerKey <- 'XXXXX' | |
consumerSecret <- 'XXXXXX' | |
my_oauth <- OAuthFactory$new(consumerKey = consumerKey, | |
consumerSecret = consumerSecret, | |
requestURL = requestURL, | |
accessURL = accessURL, | |
authURL = authURL) | |
my_oauth$handshake(cainfo = system.file("CurlSSL", "cacert.pem", package = "RCurl")) | |
### STOP HERE!!! ### | |
# PART 2: Save the my_oauth data to an .Rdata file | |
save(my_oauth, file = "my_oauth.Rdata") |
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library(RColorBrewer) | |
library(stringr) | |
library(wordcloud) | |
library(tm) | |
library(ggplot2) | |
library(xts) | |
library(dygraphs) | |
library(rCharts) | |
library(shiny) | |
library(streamR) | |
Sys.setlocale('LC_ALL','C') | |
# Define server logic required to draw a histogram | |
shinyServer(function(input, output, session) { | |
getData <- reactive({ | |
invalidateLater(35000, session) | |
load("/home/ec2-user/twitterScrape/tweets.Rdat") | |
tweets <- tweets.df | |
tweets <- tweets[grep("StrataHadoop", tweets$text),] | |
tweets$created_at<-as.POSIXct(tweets$created_at, format='%a %b %d %H:%M:%S', tz="UTC") | |
tweets$created_at <- tweets$created_at - (4 * 60 * 60) | |
tweets <- tweets[order(tweets$created_at, decreasing=TRUE),] | |
tweets | |
}) | |
output$results = renderDataTable({ | |
tweets <- getData() | |
return(tweets[c("created_at", "text", "screen_name")]) | |
}, options = list(searching = FALSE, pageLength=7)) | |
output$tweetVolume = renderDygraph({ | |
tweets <- getData() | |
tweets$threeMins <- paste0(substr(tweets$created, 12, 15), "3") | |
tweets$threeMins <- paste0(as.Date(tweets$created_at, format='%a %b %d'), " ", tweets$threeMins, ":00") | |
the_data <- data.frame(table(tweets$threeMins)) | |
the_data$Var1<-as.POSIXct(as.character(the_data$Var1)) | |
the_xts<-xts(the_data[,2], order.by=the_data[,1]) | |
colnames(the_xts)[1] <- "Tweets" | |
dygraph(the_xts) | |
}) | |
output$topTweeters = renderPlot({ | |
tweets <- getData() | |
top_tweeters <- tail(data.frame(sort(table(tweets$screen_name))), n=10) | |
top_tweeters <- data.frame(top_tweeters[nrow(top_tweeters):1,]) | |
top_tweeters <- data.frame(screen_name=rownames(top_tweeters), number_of_tweets=top_tweeters) | |
colnames(top_tweeters)[2] <- "Number.of.Tweets" | |
g <- ggplot(top_tweeters, aes(x=reorder(screen_name, Number.of.Tweets), y=Number.of.Tweets)) + geom_bar(stat="identity") | |
g <- g + theme(axis.text.x = element_text(angle = 45, hjust = 1)) | |
print(g) | |
}) | |
output$topTweetersTable = renderDataTable({ | |
tweets <- getData() | |
top_tweeters <- data.frame(sort(table(tweets$screen_name))) | |
top_tweeters <- data.frame(top_tweeters[nrow(top_tweeters):1,]) | |
top_tweeters <- data.frame(screen_name=rownames(top_tweeters), number_of_tweets=top_tweeters) | |
colnames(top_tweeters)[2] <- "Number.of.Tweets" | |
top_tweeters | |
}, options = list(searching = FALSE, pageLength=10)) | |
output$wordCloud = renderPlot({ | |
tweets <- getData() | |
all.words <- strsplit(paste(tweets$text, collapse=" "), " ") | |
all.words <- sapply(all.words, function(x) str_replace_all(x, "[^[:alnum:]]", "")) | |
all.words.clean <- unlist(all.words)[-which(tolower(unlist(all.words)) %in% stopwords())] | |
all.words.df <- data.frame(table(tolower(all.words.clean))) | |
all.words.df <- all.words.df[order(all.words.df$Freq, decreasing=TRUE),] | |
bad <- c("-", "", " ", "@", "&", "rt", "see", "$1", "+", "w/", "201.", "say", "it", "dont", "1") | |
all.words.df <- all.words.df[-which(all.words.df[,1] %in% bad),] | |
all.words.df <- all.words.df[-grep("http|strata|amp|201|and", tolower(all.words.df[,1])),] | |
all.words.df[,1] <- tolower(all.words.df[,1]) | |
pal <- brewer.pal(8,"Dark2") | |
min.freq <- dim(all.words.df)[1] * .015 | |
wordcloud(all.words.df[,1], all.words.df[,2],min.freq=min.freq,scale=c(6, .75), colors=pal) | |
}) | |
output$wordCloudTable = renderDataTable({ | |
tweets <- getData() | |
all.words <- strsplit(paste(tweets$text, collapse=" "), " ") | |
all.words <- sapply(all.words, function(x) str_replace_all(x, "[^[:alnum:]]", "")) | |
all.words.clean <- unlist(all.words)[-which(tolower(unlist(all.words)) %in% stopwords())] | |
all.words.df <- data.frame(table(tolower(all.words.clean))) | |
all.words.df <- all.words.df[order(all.words.df$Freq, decreasing=TRUE),] | |
bad <- c("-", "", " ", "@", "&", "rt", "see", "$1", "+", "w/", "201.", "say", "it", "dont", "1") | |
all.words.df <- all.words.df[-which(all.words.df[,1] %in% bad),] | |
all.words.df <- all.words.df[-grep("http|strata|amp|201|and", tolower(all.words.df[,1])),] | |
all.words.df[,1] <- tolower(all.words.df[,1]) | |
all.words.df | |
}) | |
}) |
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library(streamR) | |
library(ROAuth) | |
load("/home/ec2-user/twitterScrape/my_oauth.Rdata") | |
filterStream(file.name = "/home/ec2-user/twitterScrape/tweets.json", # Save tweets in a json file | |
track = c("#StrataHadoop"), | |
language = "en", | |
timeout = 150, # Keep connection alive for 150 seconds | |
oauth = my_oauth) # Use my_oauth file as the OAuth credentials | |
tweets.df <- parseTweets("/home/ec2-user/twitterScrape/tweets.json", simplify = FALSE) | |
save(tweets.df, file="/home/ec2-user/twitterScrape/tweets.Rdat") |
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library(dygraphs) | |
library(shinydashboard) | |
library(shiny) | |
library(rCharts) | |
dashboardPage( | |
dashboardHeader(title="2015 #StrataHadoop Real-time Twitter Tracker", titleWidth=420), | |
dashboardSidebar( | |
sidebarMenu(id="menu1", | |
menuItem("Real-time Tweets & Volume", tabName="tweets", icon=icon("th")), | |
menuItem("Top Tweeters", tabName = "tweeters", icon = icon("user", lib = "glyphicon")), | |
menuItem("Top Keywords", tabName = "keywords", icon = icon("signal", lib ="glyphicon")), | |
a(img(src="logo.png", align="left", width="230px", class="nav_logo"), href="http://tcbanalytics.com", target="_blank") | |
)), | |
dashboardBody( | |
tags$head( | |
tags$link(rel="stylesheet", type="text/css", href="app.css") | |
), | |
tabItems( | |
tabItem(tabName = "tweets", | |
fluidRow( | |
dataTableOutput('results'), | |
dygraphOutput('tweetVolume', width="85%") | |
) | |
), | |
tabItem(tabName = "tweeters", | |
fluidRow( | |
column(6, plotOutput('topTweeters')), | |
column(6, dataTableOutput('topTweetersTable')) | |
) | |
), | |
tabItem(tabName = "keywords", | |
fluidRow( | |
column(6, plotOutput('wordCloud', height="500px")), | |
column(6, dataTableOutput('wordCloudTable')) | |
) | |
) | |
) | |
)) | |
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