saotd (version 0.2.0)

posneg_words: Twitter Positive and Negative Words

Description

Determines and displays the most positive and negative words within the twitter data.

Usage

posneg_words(DataFrameTidy, num_words, filterword = NULL)

Arguments

DataFrameTidy

DataFrame of Twitter Data that has been tidy'd.

num_words

Desired number of words to be returned.

filterword

Word or words to be removed

Value

A ggplot

Examples

# NOT RUN {
library(saotd)
data <- raw_tweets
tidy_data <- Tidy(DataFrame = data)
posneg <- posneg_words(DataFrameTidy = tidy_data,
                       n = 10)
posneg
                          
data <- raw_tweets
tidy_data <- Tidy(DataFrame = data)
posneg <- posneg_words(DataFrameTidy = tidy_data,
                       n = 10,
                       filterword = "fail")
posneg
                          
data <- raw_tweets
tidy_data <- Tidy(DataFrame = data)
posneg <- posneg_words(DataFrameTidy = tidy_data,
                       n = 10,
                       filterword = c("fail", "urgent"))            
posneg
# }