PySastrawi Documentation

You can install the PySastrawi library using pip by running the following command in your terminal or command prompt:

pip install PySastrawi

To reduce inflected Indonesian words to their base form, use the StemmerFactory to create a stemmer instance, then call the .stem() method on your target text.

Workflow:

1. Import StemmerFactory from Sastrawi.Stemmer.StemmerFactory.
2. Instantiate StemmerFactory().
3. Call .create_stemmer() on the factory to get a stemmer object.
4. Use .stem(text) to process strings.

from Sastrawi.Stemmer.StemmerFactory import StemmerFactory

# Initialize the factory and create the stemmer
factory = StemmerFactory()
stemmer = factory.create_stemmer()

# Stem a sentence
sentence = 'Perekonomian Indonesia sedang dalam pertumbuhan yang membanggakan'
output = stemmer.stem(sentence)
print(output)
# Output: ekonomi indonesia sedang dalam tumbuh yang bangga

# Stem a single word/phrase
print(stemmer.stem('Mereka meniru-nirukannya'))
# Output: mereka tiru

The Stemmer class provides methods to reduce Indonesian words or full text strings to their base (root) form. It uses a dictionary-based approach and supports various stemming algorithms (Nazief & Adriani, CS Stemmer, ECS Stemmer, Improved ECS).

To use it, you must instantiate the class with a dictionary object. The primary method for processing full sentences or paragraphs is stem(text), while stem_word(word) can be used for individual words.

# Note: You must provide a valid dictionary instance to the constructor
stemmer = Stemmer(dictionary)

# Stem a full string
result = stemmer.stem("teks yang ingin di-stem")

# Stem a single word
word_root = stemmer.stem_word("kata")

The stem_word(word) method reduces a single word to its base form. It internally determines if a word is plural or singular using is_plural() and routes the processing to either stem_plural_word() or stem_singular_word() accordingly.

def stem_word(self, word):
    """Stem a word to its common stem form."""
    if self.is_plural(word):
        return self.stem_plural_word(word)
    else:
        return self.stem_singular_word(word)

The stem(text) method takes a string, normalizes the text using TextNormalizer, splits it into individual words, and returns a single string where each word has been replaced by its stem, joined by spaces.

def stem(self, text):
    """Stem a text string to its common stem form."""
    # ... implementation ...