saotd (version 0.3.1)

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)

Value

A ggplot

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.

Examples

if (FALSE) {
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
}