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strangerthings_sentiments.R
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library(tidyverse)
library(tidytuesdayR)
# Load data
episodes <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2022/2022-10-18/episodes.csv')
dialogue <- readr::read_csv("https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2022/2022-10-18/stranger_things_all_dialogue.csv")
# CUMULATIVE SENTIMENTS ANALYSIS
#load packages
library(tidyverse)
library(epubr)
library(tidytext)
library(zoo)
library(showtext)
library(ggtext)
library(glue)
library(dplyr)
library(tokenizers)
library(tm) # Text mining cleaning
library(stringr) # Removing characters
library(qdapRegex) # Removing URLs
library(tidytext) #
# wrangle data
df <- dialogue %>%
mutate(index= row_number())
df1<-df%>%
filter(season==1)
df1 <- tokenize_sentences(df1$dialogue) %>%
unlist()
sentences<- as_tibble(df1)
newdf<- sentences %>%drop_na()
#sentiments
scored <- newdf %>%
unnest_tokens(word, value) %>%
left_join(sentiments) %>%
left_join(get_sentiments("afinn")) %>%
mutate(sentiment = case_when(is.na(sentiment) ~ 0,
sentiment == "negative" ~ -1,
TRUE ~ 1),
cumsent = cumsum(sentiment),
ind = row_number(),
rollm = rollmean(sentiment, 10, na.pad = TRUE),
value = replace_na(value, 0),
afinn_cum = cumsum(value))
#fonts
font_add_google("Quicksand", "Quicksand")
showtext_auto()
sec_text <- "grey50"
p_text <- "grey70"
#plot1
p1 <- scored %>%
ggplot(aes(ind, cumsent)) +
geom_area(fill = alpha("red", .6),
color = "grey50") +
geom_segment(x = 0, xend = 0, y = 10, yend = -10,
arrow = arrow(length = unit(.15, "cm"), type = "closed"),
color = sec_text) +
geom_hline(yintercept = 0, linetype = 2, color = sec_text) +
scale_x_continuous(expand = c(0,0)) +
scale_y_continuous(breaks = c(0),
labels = c("Neutral\nSentiment")) +
coord_cartesian(clip = "off") +
theme(text = element_text(family = "Quicksand",size = 20, color = sec_text),
panel.background = element_blank(),
plot.background = element_rect(fill = "grey20", color = NA),
axis.line.y = element_blank(),
axis.line.x = element_line(arrow = arrow(length = unit(.15, "cm"),
type = "closed"),
color = sec_text),
panel.grid = element_blank(),
axis.text.y = element_text(color = sec_text, face = "bold", size = 12),
axis.text.x = element_blank(),
plot.title.position = "plot",
plot.title = element_textbox(face = "bold", size = 60, hjust = .5,
color = p_text),
plot.subtitle = element_textbox(face = "bold", size = 30, hjust = .5,
color = p_text),
plot.caption = element_text(hjust = 0.03, color = alpha(p_text, .5),
family = "Quicksand", margin = margin(t = -5)),
plot.caption.position = "plot") +
labs(title = glue("Sentiment analysis of <span style='color:{alpha('red', .75)}'>Stranger Things</span>"),
subtitle = glue("Season 1",
" "),
x = "Flow Progression",
y = "",
caption = "\nData:8flix.com via Dan Fellowes & Jonathan Kitt | Viz: @stepminer2")
p1
############################################
df2<-df%>%
filter(season==2)
df2 <- tokenize_sentences(df2$dialogue) %>%
unlist()
sentences<- as_tibble(df2)
newdf<- sentences %>%drop_na()
scored <- newdf %>%
unnest_tokens(word, value) %>%
left_join(sentiments) %>%
left_join(get_sentiments("afinn")) %>%
mutate(sentiment = case_when(is.na(sentiment) ~ 0,
sentiment == "negative" ~ -1,
TRUE ~ 1),
cumsent = cumsum(sentiment),
ind = row_number(),
rollm = rollmean(sentiment, 10, na.pad = TRUE),
value = replace_na(value, 0),
afinn_cum = cumsum(value))
font_add_google("Quicksand", "Quicksand")
showtext_auto()
sec_text <- "grey50"
p_text <- "grey70"
#plot2
p2 <- scored %>%
ggplot(aes(ind, cumsent)) +
geom_area(fill = alpha("red", .6),
color = "grey50") +
geom_segment(x = 0, xend = 0, y = 10, yend = -10,
arrow = arrow(length = unit(.15, "cm"), type = "closed"),
color = sec_text) +
geom_hline(yintercept = 0, linetype = 2, color = sec_text) +
scale_x_continuous(expand = c(0,0)) +
scale_y_continuous(breaks = c(0),
labels = c("Neutral\nSentiment")) +
coord_cartesian(clip = "off") +
theme(text = element_text(family = "Quicksand",size = 20, color = sec_text),
panel.background = element_blank(),
plot.background = element_rect(fill = "grey20", color = NA),
axis.line.y = element_blank(),
axis.line.x = element_line(arrow = arrow(length = unit(.15, "cm"),
type = "closed"),
color = sec_text),
panel.grid = element_blank(),
axis.text.y = element_text(color = sec_text, face = "bold", size = 12),
axis.text.x = element_blank(),
plot.title.position = "plot",
plot.title = element_textbox(face = "bold", size = 60, hjust = .5,
color = p_text),
plot.subtitle = element_textbox(face = "bold", size = 30, hjust = .5,
color = p_text),
plot.caption = element_text(hjust = 0.03, color = alpha(p_text, .5),
family = "Quicksand", margin = margin(t = -5)),
plot.caption.position = "plot") +
labs(title = glue("Sentiment analysis of <span style='color:{alpha('red', .75)}'>Stranger Things</span>"),
subtitle = glue("Season 2",
" "),
x = "Flow Progression",
y = "",
caption = "\nData:8flix.com via Dan Fellowes & Jonathan Kitt | Viz: @stepminer2")
p2
##########################################
df3<-df%>%
filter(season==3)
df3 <- tokenize_sentences(df3$dialogue) %>%
unlist()
sentences<- as_tibble(df3)
newdf<- sentences %>%drop_na()
scored <- newdf %>%
unnest_tokens(word, value) %>%
left_join(sentiments) %>%
left_join(get_sentiments("afinn")) %>%
mutate(sentiment = case_when(is.na(sentiment) ~ 0,
sentiment == "negative" ~ -1,
TRUE ~ 1),
cumsent = cumsum(sentiment),
ind = row_number(),
rollm = rollmean(sentiment, 10, na.pad = TRUE),
value = replace_na(value, 0),
afinn_cum = cumsum(value))
font_add_google("Quicksand", "Quicksand")
showtext_auto()
sec_text <- "grey50"
p_text <- "grey70"
#plot3
p3 <- scored %>%
ggplot(aes(ind, cumsent)) +
geom_area(fill = alpha("red", .6),
color = "grey50") +
geom_segment(x = 0, xend = 0, y = 10, yend = -10,
arrow = arrow(length = unit(.15, "cm"), type = "closed"),
color = sec_text) +
geom_hline(yintercept = 0, linetype = 2, color = sec_text) +
scale_x_continuous(expand = c(0,0)) +
scale_y_continuous(breaks = c(0),
labels = c("Neutral\nSentiment")) +
coord_cartesian(clip = "off") +
theme(text = element_text(family = "Quicksand",size = 20, color = sec_text),
panel.background = element_blank(),
plot.background = element_rect(fill = "grey20", color = NA),
axis.line.y = element_blank(),
axis.line.x = element_line(arrow = arrow(length = unit(.15, "cm"),
type = "closed"),
color = sec_text),
panel.grid = element_blank(),
axis.text.y = element_text(color = sec_text, face = "bold", size = 12),
axis.text.x = element_blank(),
plot.title.position = "plot",
plot.title = element_textbox(face = "bold", size = 60, hjust = .5,
color = p_text),
plot.subtitle = element_textbox(face = "bold", size = 30, hjust = .5,
color = p_text),
plot.caption = element_text(hjust = 0.03, color = alpha(p_text, .5),
family = "Quicksand", margin = margin(t = -5)),
plot.caption.position = "plot") +
labs(title = glue("Sentiment analysis of <span style='color:{alpha('red', .75)}'>Stranger Things</span>"),
subtitle = glue("Season 3",
" "),
x = "Flow Progression",
y = "",
caption = "\nData:8flix.com via Dan Fellowes & Jonathan Kitt | Viz: @stepminer2")
p3
============================================
df4<-df%>%
filter(season==4)
df4 <- tokenize_sentences(df4$dialogue) %>%
unlist()
sentences<- as_tibble(df4)
# rename(text=value)
newdf<- sentences %>%drop_na()
scored <- newdf %>%
unnest_tokens(word, value) %>%
left_join(sentiments) %>%
left_join(get_sentiments("afinn")) %>%
mutate(sentiment = case_when(is.na(sentiment) ~ 0,
sentiment == "negative" ~ -1,
TRUE ~ 1),
cumsent = cumsum(sentiment),
ind = row_number(),
rollm = rollmean(sentiment, 10, na.pad = TRUE),
value = replace_na(value, 0),
afinn_cum = cumsum(value))
font_add_google("Quicksand", "Quicksand")
showtext_auto()
sec_text <- "grey50"
p_text <- "grey70"
#plot4
p4 <- scored %>%
ggplot(aes(ind, cumsent)) +
geom_area(fill = alpha("red", .6),
color = "grey50") +
geom_segment(x = 0, xend = 0, y = 10, yend = -10,
arrow = arrow(length = unit(.15, "cm"), type = "closed"),
color = sec_text) +
geom_hline(yintercept = 0, linetype = 2, color = sec_text) +
scale_x_continuous(expand = c(0,0)) +
scale_y_continuous(breaks = c(0),
labels = c("Neutral\nSentiment")) +
coord_cartesian(clip = "off") +
theme(text = element_text(family = "Quicksand",size = 20, color = sec_text),
panel.background = element_blank(),
plot.background = element_rect(fill = "grey20", color = NA),
axis.line.y = element_blank(),
axis.line.x = element_line(arrow = arrow(length = unit(.15, "cm"),
type = "closed"),
color = sec_text),
panel.grid = element_blank(),
axis.text.y = element_text(color = sec_text, face = "bold", size = 12),
axis.text.x = element_blank(),
plot.title.position = "plot",
plot.title = element_textbox(face = "bold", size = 60, hjust = .5,
color = p_text),
plot.subtitle = element_textbox(face = "bold", size = 30, hjust = .5,
color = p_text),
plot.caption = element_text(hjust = 0.03, color = alpha(p_text, .5),
family = "Quicksand", margin = margin(t = -5)),
plot.caption.position = "plot") +
labs(title = glue("Sentiment analysis of <span style='color:{alpha('red', .75)}'>Stranger Things</span>"),
subtitle = glue("Season 4",
" "),
x = "Flow Progression",
y = "",
caption = "\nData:8flix.com via Dan Fellowes & Jonathan Kitt | Viz: @stepminer2")
p4
library(cowplot)
# manually setting the number of rows, auto-generate upper-case labels
plot_grid(p1, p2,p3,p4,
nrow = 2,
labels = "AUTO",
label_size = 12,
align = "v"
)
ggsave("Cum_sentiments_strangerthings1.png", device= png, dpi = 320, width = 18, height = 11)