bigram_network: Twitter Bi-Gram Network

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

Twitter Bi-Gram Network

Description

Displays the Bi-Gram Network. Bi-Gram networks builds on computed Bi-Grams. Bi-Gram networks serve as a visualization tool that displays the relationships between the words simultaneously as opposed to a tabular display of Bi-Gram words.

Usage

bigram_network(
  BiGramDataFrame,
  number,
  layout = "fr",
  edge_color = "royalblue",
  node_color = "black",
  node_size = 3,
  set_seed = 1234
)

Arguments

BiGramDataFrame	Data Frame of Bi-Grams.
number	The minimum desired number of Bi-Gram occurrences to be displayed (number = 300, would display all Bi-Grams that have at least 300 instances).
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

A ggraph plot.

Examples

## Not run: 
library(saotd)
data <- raw_tweets
TD_Bigram <- bigram(DataFrame = data)
TD_Bigram_Network <- bigram_network(BiGramDataFrame = TD_Bigram,
                                    number = 300,
                                    layout = "fr",
                                    edge_color = "royalblue",
                                    node_color = "black",
                                    node_size = 3,
                                    set_seed = 1234)

TD_Bigram_Network

## End(Not run)

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