create_DTM: Create a tidy document-term data_frame

In JiachengHe/TextAnalysis:

Description

Throw in the original data frame containing text, extract the text, then create a document-term data_frame.

Usage

create_DTM(df, ID, text, n_gram = 1, stop_rm = TRUE, stemming = FALSE,
  q = NULL)

Arguments

df	The original data frame (LexisNexis, Twitter, etc)
ID	The name of the variable identifying each document in the original data frame
text	The name of the variable containing the texts we want to analyze in the original data frame
n_gram	A numeric specifying the the number of grams. If default to NULL, then use 1-gram
stemming	A logical specifying whether to implement stemming. Default to FALSE
q	A numeric specifying the quantile of tf-idf to remove words. If default to NULL, then don't remove

Value

A tidy document-term data_frame containing ID, word, word counts, and tf-idf

Author(s)

Jiacheng He

Examples

create_DTM(document, ID, FULL_TEXT)
create_DTM(document, ID, FULL_TEXT, 1, TRUE, 0.2)

JiachengHe/TextAnalysis documentation built on May 28, 2019, 7:51 a.m.