tweet_time {saotd} | R Documentation |
Twitter Data Timeseries Plot.
Description
Displays the Twitter data sentiment scores through time. The sentiment scores by hashtag or topic are summed per day and plotted to show the change in sentiment through time.
Usage
tweet_time(DataFrameTidyScores, HT_Topic)
Arguments
DataFrameTidyScores |
DataFrame of Twitter Data that has been tidy'd and scored. |
HT_Topic |
If using hashtag data select: "hashtag". If using topic data select: "topic". |
Value
A ggplot plot.
Examples
## Not run:
library(saotd)
data <- raw_tweets
tidy_data <- Tidy(DataFrame = data)
score_data <- tweet_scores(DataFrameTidy = tidy_data,
HT_Topic = "hashtag")
ht_time <- tweet_time(DataFrameTidyScores = score_data,
HT_Topic = "hashtag")
ht_time
data <- raw_tweets
tidy_data <- Tidy(DataFrame = data)
score_data <- tweet_scores(DataFrameTidy = tidy_data,
HT_Topic = "topic")
topic_time <- tweet_time(DataFrameTidyScores = score_data,
HT_Topic = "topic")
topic_time
## End(Not run)
[Package saotd version 0.3.1 Index]