freq_by_polarity: Query the dataset for frequency by polarity based on several...

In adityamangal410/deepSentimentR: Package to Analyze Sentiment Datasets

Description

Query the dataset for frequency by polarity based on several filters and return the raw data, frequency data and a plot for the same.

Arguments

data	the sentiment dataset containing variables user for username, date for date and text for text of the tweet. default sentiment140_train dataset
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, frequency dataframe that holds the frequency counts by polarity and a plot depicting the relationship between the two

Examples

library(lubridate)
sample_data <- data.frame("user" = c("test_user1", "test_user1", "test_user2"),
                          "date" = c(lubridate::as_datetime("2009-04-01"),
                                     lubridate::as_datetime("2009-04-05"),
                                     lubridate::as_datetime("2009-04-10")),
                          "text" = c("Sample tweet 1 from user1",
                                     "Sample tweet 2 from user1",
                                     "Sample tweet 1 from user2"),
                         "polarity" = c(0, 4, 4),
                         "id" = c(1,2,3))
freq_by_polarity(data = sample_data,
                 user_list = c("", "test_user1"),
                 start_date_time = lubridate::as_datetime("2009-03-30"),
                 end_date_time = lubridate::as_datetime("2009-06-30"),
                 keyword_list = c("tweet 2"))

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