CDTM: Document Term Matrix

In CTM: A Text Mining Toolkit for Chinese Document

Description

Constructs Document-Term Matrix from Chinese Text Documents.

Usage

CDTM(doc, weighting, EngTermDeleted = TRUE, NumTermDeleted = TRUE,
  shortTermDeleted = TRUE)

Arguments

doc	The Chinese text document. A vector of Chinese strings.
weighting	Available weighting function with matrix are binary, count, tf, tfidf. See details.
EngTermDeleted	remove English from text documents.
NumTermDeleted	remove Numbers from text documents.
shortTermDeleted	Deltected short word when nchar <2.

Details

This function run a Chinese word segmentation by jiebeR and build document-term matrix, and there is four weighting function with matrix, and "binary" means value can only be 1 if the term occurs, "count" means how many times the term occurs in a doc, "tf" means term frequency and "tfidf" means term frequency inverse document frequency.

Author(s)

Jim Liu, Quan Gu

Examples

library(CTM)
a1 <- "hello taiwan"
b1 <- "world of tank"
c1 <- "taiwan weather"
d1 <- "local weather"
text1 <- t(data.frame(a1,b1,c1,d1))
dtm1 <- CTDM(doc = text1, weighting = "tfidf",EngTermDeleted = FALSE, shortTermDeleted = FALSE)

CTM documentation built on May 1, 2019, 8:07 p.m.