Title:	Text Mining for Bahasa Malaysia
Version:	0.1.3
Description:	It is designed to work with text written in Bahasa Malaysia. We provide functions and data sets that will make working with Bahasa Malaysia text much easier. For word stemming in particular, we will look up the Malay words in a dictionary and then proceed to remove "extra suffix" as explained in Khan, Rehman Ullah, Fitri Suraya Mohamad, Muh Inam UlHaq, Shahren Ahmad Zadi Adruce, Philip Nuli Anding, Sajjad Nawaz Khan, and Abdulrazak Yahya Saleh Al-Hababi (2017) https://ijrest.net/vol-4-issue-12.html . This package includes a dictionary of Malay words that may be used to perform word stemming, a dataset of Malay stop words, a dataset of sentiment words and a dataset of normalized words.
License:	MIT + file LICENSE
Encoding:	UTF-8
LazyData:	true
RoxygenNote:	7.2.3
URL:	https://github.com/zahiernasrudin/malaytextr
BugReports:	https://github.com/zahiernasrudin/malaytextr/issues
Imports:	dplyr, magrittr, rlang, stringr
Depends:	R (≥ 2.10)
Suggests:	rmarkdown, knitr, testthat (≥ 3.0.0)
VignetteBuilder:	knitr
Config/testthat/edition:	3
NeedsCompilation:	no
Packaged:	2023-01-17 11:39:35 UTC; zahiernasrudin
Author:	Zahier Nasrudin [aut, cre]
Maintainer:	Zahier Nasrudin <zahiernasrudin@gmail.com>
Repository:	CRAN
Date/Publication:	2023-01-17 11:50:02 UTC

Pipe operator

Description

See magrittr::%>% for details.

Usage

lhs %>% rhs

Arguments

Value

The result of calling rhs(lhs).

Data of Malay root words

Description

Data of Malay root words

Usage

malayrootwords

Format

A tibble with 4295 rows and 2 variables:

⁠Col Word⁠

dbl Malay Word

⁠Root Word⁠

dbl Malay Root Word

Data of Malay stop words

Description

Data of Malay stop words

Usage

malaystopwords

Format

A tibble with 512 rows and 1 variable:

stopwords

dbl Malay stop words

Data of Malay root words

Description

Data of Malay root words

Usage

normalized

Format

A tibble with 153 rows and 2 variables:

⁠Col Word⁠

dbl Word

⁠Normalized Word⁠

dbl Normalized Word

Remove URL links

Description

Remove URL links

Usage

remove_url(string)

Arguments

Details

remove_url() is an approach to remove link(s) from a string

Value

Returns a string with URL links removed

Examples

x <- c("test https://t.co/fkQC2dXwnc", "another one https://www.google.com/ to try")
remove_url(x)

Data of Sentiment Words (Positive or Negative)

Description

Data of Sentiment Words (Positive or Negative)

Usage

sentiment_general

Format

A tibble with 1424 rows and 2 variables:

Word

dbl Sentiment Word

⁠Root Word⁠

dbl Sentiment

Stemming Malay words

Description

Malaytextr function to stem Malay words

Usage

stem_malay(word,
  dictionary,
  col_feature1,
  col_dict1,
  col_dict2,
  Word)

Arguments

Format

An object of class function of length 1.

Details

stem_malay() is an approach to find the Malay words in a dictionary and then proceed to remove "extra suffix" as explained by Khan et al. (2017), and then "prefix" and lastly, "suffix".

Value

Returns a data frame with the following properties:

• ⁠Col Word⁠: Renamed input from word

• ⁠Root Word⁠: An additional column which contains the word(s) after being stemmed.

References

Khan, Rehman Ullah, Fitri Suraya Mohamad, Muh Inam UlHaq, Shahren Ahmad Zadi Adruce, Philip Nuli Anding, Sajjad Nawaz Khan, and Abdulrazak Yahya Saleh Al-Hababi. 2017. "Malay Language Stemmer."

Examples

#Specifying a character vector &
#use a dictionary from malaytextr package

stem_malay(word = "banyaknya", dictionary = malayrootwords)



#A data frame,
#Use a dictionary from malaytextr package,
#With a dataframe, you will need to specify the column to be stemmed

x <- data.frame(text = c("banyaknya","sangat","terkedu", "pengetahuan"))

stem_malay(word = x, dictionary = malayrootwords, col_feature1 = "text")