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 0.1.3

  1. Added more Malay root words:
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
  1. To standardize the format, parameter Word will be changed to word (lowercase)
  2. Returned properties root_word will be changed to Root Word
stem_malay(word = "banyaknya", dictionary = malayrootwords)

'Root Word' is now returned instead of 'root_word'
   Col Word Root Word
1 banyaknya    banyak

Another example:

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

stem_malay(word = x, 
          dictionary = malayrootwords, 
          col_feature1 = "text")
  
'Root Word' is now returned instead of 'root_word'
     Col Word Root Word
1   banyaknya    banyak
2      sangat    sangat
3     terkedu      kedu
4 pengetahuan      tahu
  1. New Malay stop words data frame:
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
  1. Sentiment words data frame:
sentiment_general
# A tibble: 1,424 × 2
   Word      Sentiment
   <chr>     <chr>    
 1 berjaya   Positive 
 2 baik      Positive 
 3 terkenal  Positive 
 4 membantu  Positive 
 5 mudah     Positive 
 6 popular   Positive 
 7 moden     Positive 
 8 memenangi Positive 
 9 bebas     Positive 
10 menarik   Positive 
# … with 1,414 more rows
  1. Normalized words data frame:
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

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.