word_distrib: Words Distribution

In opitools: Analyzing the Opinions in a Big Text Document

Description

This function examines whether the distribution of word frequencies in a text document follows the Zipf distribution (Zipf 1934). The Zipf's distribution is considered the ideal distribution of a perfect natural language text.

Usage

word_distrib(textdoc)

Arguments

textdoc

n x 1 list (dataframe) of individual text records, where n is the number of individual records.

Details

The Zipf's distribution is most easily observed by plotting the data on a log-log graph, with the axes being log(word rank order) and log(word frequency). For a perfect natural language text, the relationship between the word rank and the word frequency should have a negative slope with all points falling on a straight line. Any deviation from the straight line can be considered an imperfection attributable to the texts within the document.

Value

A list of word ranks and their respective frequencies, and a plot showing the relationship between the two variables.

References

Zipf G (1936). The Psychobiology of Language. London: Routledge; 1936.

Examples

#Get an \code{n} x 1 text document
tweets_dat <- data.frame(text=tweets[,1])
plt = word_distrib(textdoc = tweets_dat)

plt

opitools documentation built on July 29, 2021, 5:06 p.m.