feature_quantitative: Quantitative features

In sebastian-fox/twitterfeatures: Simple Feature Engineering Functions for Twitter Data

Description

Engineers quantitative features in Tweets.

Usage

feature_quantitative(data, doc_id_field, text_field)

Arguments

data	a dataframe or tibble containing the text data and document id
doc_id_field	unquoted field name identifying the field within the data that represents the unique document id
text_field	unquoted field name identifying the field name in data that contains the text of the Tweet

Details

The quantitative features are

• the count of characters

• the number of words

• the average word length

• the number of sentences

• the average number of words in a sentence

Value

A data frame of document ids and their associated quantitative features

Examples

tweets <- data.frame(status_id = c(1234, 5678),
                     text = c("I love to tweet about one thing #onething #things",
                              "I have doubts about tweeting about another thing
                              #another thing #things"),
                     stringsAsFactors = FALSE)
feature_quantitative(tweets, status_id, text)

sebastian-fox/twitterfeatures documentation built on Nov. 5, 2019, 8:47 a.m.