Skip to main content

Library untuk analisis statistik teks Bahasa Indonesia

Project description

textstat id

Library untuk analisis statistik teks Bahasa Indonesia.

Instalasi

pip install textstat_id

Usage Example

import textstat_id

# Analisis teks
teks = "Saya sedang belajar membuat library Python untuk analisis teks Bahasa Indonesia."
hasil = textstat_id.analisis_dasar(teks)
print(hasil)

# Menghitung frekuensi kata
frekuensi = textstat_id.hitung_frekuensi(teks)
print(frekuensi)

# Menghitung readability score
score = textstat_id.hitung_keterbacaan(teks)
print(f"Skor keterbacaan: {score}")

Fitur

  • Menghitung frekuensi kata dalam teks Bahasa Indonesia
  • Menghitung jumlah kalimat, kata, dan karakter
  • Mendeteksi kata tidak baku dalam bahasa Indonesia
  • Mengekstrak kata kunci dari teks
  • Menghitung readability score untuk teks Bahasa Indonesia

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

textstat_id-0.0.2.tar.gz (7.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

textstat_id-0.0.2-py3-none-any.whl (6.8 kB view details)

Uploaded Python 3

File details

Details for the file textstat_id-0.0.2.tar.gz.

File metadata

  • Download URL: textstat_id-0.0.2.tar.gz
  • Upload date:
  • Size: 7.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.6

File hashes

Hashes for textstat_id-0.0.2.tar.gz
Algorithm Hash digest
SHA256 cac7957ebaf0eef588d200c2ad6849370718e4d8653980c11b2373a554f84e5f
MD5 3c8a174a131a894bdeac334338b23b71
BLAKE2b-256 5b763882609af025d816a11009421464735eee831f0ba6e3fbbf713d2dea46d9

See more details on using hashes here.

File details

Details for the file textstat_id-0.0.2-py3-none-any.whl.

File metadata

  • Download URL: textstat_id-0.0.2-py3-none-any.whl
  • Upload date:
  • Size: 6.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.6

File hashes

Hashes for textstat_id-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 5e5a250dedddc60e05c104b6f70e4198e328309cfca9fc1179f8e93c9951fa70
MD5 8c2d93aedc7408ab737040cceb906be9
BLAKE2b-256 cb08f34048afe40759e30f94acecdc023a0081378ce9ea046cfff84906fc45ca

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page