word_cor_network: Generate word correlation network

In adityamangal410/deepSentimentR: Package to Analyze Sentiment Datasets

Description

Generate word correlation network to analyze given data with filters for all highly correlated words excluding stop words.

Arguments

data	the sentiment140 train or test data containing variables user for username, date for date and text for text of the tweet.
user_list	a vector of users for which to filter the dataset
start_date_time	input start_date_time in POSIXct format on which to filter the dataset
end_date_time	input end_date_time in POSIXct format on which to filter the dataset
keyword_list	a list of string keywords on which to filter the dataset
correlation_threshold	threshold beyond which to plot the network

Value

a list object with raw filtered dataframe, word_cors aggregated dataframe that holds the correlated words and a plot representing the network.

Examples

data(sentiment140_test)
word_cor_network()

adityamangal410/deepSentimentR documentation built on June 3, 2019, 6:15 p.m.