word_corr_network: Twitter Word Correlations Plot

In evan-l-munson/SAoTD: Sentiment Analysis of Twitter Data

Twitter Word Correlations Plot

Description

The word correlation network displays the mutual relationship between words. The correlation network shows higher correlations with a thicker and darker edge color.

Usage

word_corr_network(
  WordCorr,
  Correlation = 0.15,
  layout = "fr",
  edge_color = "royalblue",
  node_color = "black",
  node_size = 2,
  set_seed = 1234
)

Arguments

WordCorr	Data Frame of Word Correlations.
Correlation	Minimum level of correlation to be displayed.
layout	Desired layout from the 'ggraph' package. Acceptable layouts: "star", "circle", "gem", "dh", "graphopt", "grid", "mds", "randomly", "fr", "kk", "drl", "lgl"
edge_color	User desired edge color.
node_color	User desired node color.
node_size	User desired node size.
set_seed	Seed for reproducible results.

Value

An igraph plot

Examples

## Not run: 
library(saotd)
data <- raw_tweets
tidy_data <- Tidy(DataFrame = data)
TD_Word_Corr <- word_corr(DataFrameTidy = tidy_data,
                          number = 500,
                          sort = TRUE)
TD_Word_Corr_Network <- word_corr_network(WordCorr = TD_Word_Corr,
                                       Correlation = 0.15,
                                       layout = "fr",
                                       edge_color = "royalblue",
                                       node_color = "black",
                                       node_size = 2,
                                       set_seed = 1234)

TD_Word_Corr_Network

## End(Not run)

evan-l-munson/SAoTD documentation built on Jan. 11, 2024, 12:26 a.m.