The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
malaytextr: An R package to process Malay text data. It offers a number of functions/datasets for analyzing and working with text data in the Malay language.
Install the latest version of this package by entering the following in R:
install.packages("malaytextr")
Or you can install the development version from GitHub with:
# install.packages("devtools")
::install_github("zahiernasrudin/malaytextr") devtools
There is a data frame of Malay root words that can be used as a dictionary:
malayrootwords
# A tibble: 4,365 x 2
`Col Word` `Root Word`
<chr> <chr>
1 ad ada
2 ak aku
3 akn akan
4 ank anak
5 ap apa
6 awl awal
7 bg bagi
8 bkn bukan
9 blm belum
10 bnjr banjir
# ... with 4,355 more rows
stem_malay()
will find the root words in a dictionary,
in which the malayrootwords
data frame can be used, then it
will remove “extra suffix”“,”prefix” and lastly “suffix”
To stem word “banyaknya”. It will return a data frame with the word “banyaknya” and the stemmed word “banyak”:
Note: ‘Root Word’ is now returned instead of ‘root_word’
stem_malay(word = "banyaknya", dictionary = malayrootwords)
'Root Word' is now returned instead of 'root_word'
Col Word Root Word1 banyaknya banyak
To stem words in a data frame:
<- data.frame(text = c("banyaknya","sangat","terkedu", "pengetahuan"))
x
stem_malay(word = x,
dictionary = malayrootwords,
col_feature1 = "text")
'Root Word' is now returned instead of 'root_word'
Col Word Root Word1 banyaknya banyak
2 sangat sangat
3 terkedu kedu
4 pengetahuan tahu
remove_url
will remove all urls found in a string
<- c("test https://t.co/fkQC2dXwnc", "another one https://www.google.com/ to try")
x
remove_url(x)
1] "test " "another one to try" [
There is a data frame of Malay stop words:
malaystopwords# A tibble: 512 x 1
stopwords<chr>
1 ada
2 sampai
3 sana
4 itu
5 sangat
6 saya
7 jadi
8 se
9 agak
10 jangan
# ... with 502 more rows
This lexicon includes words that have been labelled as positive or negative:
sentiment_general# A tibble: 1,424 × 2
Word Sentiment<chr> <chr>
1 aduan Negative
2 agresif Negative
3 amaran Negative
4 anarki Negative
5 ancaman Negative
6 aneh Negative
7 antagonis Negative
8 azab Negative
9 babi Negative
10 bahaya Negative
# … with 1,414 more rows
This dataset is a development version that aims to provide a standardized version of Malay words. It is designed to standardize words that have multiple variations/spellings
normalized# A tibble: 153 × 2
`Col Word` `Normalized Word`
<chr> <chr>
1 ad ada
2 ak aku
3 akn akan
4 ank anak
5 ap apa
6 awl awal
7 bg bagi
8 bkn bukan
9 blm belum
10 bnjr banjir
# … with 143 more rows
To report a bug, please file an issue on Github
MIT License
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.