normalized

datasets

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.

Zahier Nasrudin

malaytextr

Text Mining for Bahasa Malaysia

normalized function

A tibble with 153 rows and 2 variables:<dl>
<dt><code>Col Word</code></dt>
<dd>dbl Word</dd><dt><code>Normalized Word</code></dt>
<dd>dbl Normalized Word</dd>
</dl>

Format

Data of Malay root words — normalized

A tibble with 153 rows and 2 variables:<dl>
<dt><code>Col Word</code></dt>
<dd>dbl Word</dd>

<dt><code>Normalized Word</code></dt>
<dd>dbl Normalized Word</dd>


</dl>

normalized: Data of Malay root words

Description

Usage

Arguments

Format