sentiment_general

Data of Sentiment Words (Positive or Negative)

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

sentiment_general function

A tibble with 1424 rows and 2 variables:<dl>
<dt><code>Word</code></dt>
<dd>dbl Sentiment Word</dd><dt><code>Root Word</code></dt>
<dd>dbl Sentiment</dd>
</dl>

Format

Data of Sentiment Words (Positive or Negative) — sentiment_general

A tibble with 1424 rows and 2 variables:<dl>
<dt><code>Word</code></dt>
<dd>dbl Sentiment Word</dd>

<dt><code>Root Word</code></dt>
<dd>dbl Sentiment</dd>


</dl>

sentiment_general: Data of Sentiment Words (Positive or Negative)

Description

Usage

Arguments

Format