bigram_network: Generate bigram network

In adityamangal410/deepSentimentR: Package to Analyze Sentiment Datasets

Description

Generate bigram network to analyze given data with filters for all most common bigrams 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
counts_quantile	the quantile beyond which to visualize the bigrams

Value

a list object with raw filtered dataframe, bigram_counts aggregated dataframe that holds the frequency counts of bigrams and a plot representing the network.

Examples

bigram_network()

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