time_series: Generate time series plots to analyze data based on filters

In adityamangal410/deepSentimentR: Package to Analyze Sentiment Datasets

Description

Generate time series plots to analyze given data with filters and visualize over polarity and return the raw data, date/day aggregate data and a plots for the same.

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

Value

a list object with raw filtered dataframe, date_counts aggregated dataframe that holds the frequency counts of date by polarity, day_counts aggregated dataframe that holds the frequency counts of day by polarity and a plots depicting their relationship.

Examples

time_series()

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