posneg_words: Twitter Positive and Negative Words

In saotd: Sentiment Analysis of Twitter Data

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

## End(Not run)

saotd documentation built on Sept. 4, 2023, 9:06 a.m.