library(rtweet)
library(dplyr)
library(tidytext)
library(stringr)
library(ggplot2)
library(ggwordcloud)

dc <- search_tweets(
  "datacamp",
  n = 1000, include_rts = FALSE
)

dc_words <- dc %>%
  filter(
    screen_name != "DataCamp",
    created_at >= "2020-07-01"
  ) %>%
  select(text) %>%
  unnest_tokens(word, text, token = "tweets", drop = FALSE) %>%
  filter(!str_starts(word, "@")) %>%
  anti_join(stop_words, by = "word")

dc_words %>%
  left_join(get_sentiments("afinn"), by = "word") %>%
  filter(value <= 0) %>%
  count(word, value) %>%
  filter(n > 1) %>%
  ggplot() +
  geom_text_wordcloud(aes(label = word, size = n)) +
  scale_size_area(max_size = 14) +
  theme_minimal()