Awesome

pygwizo |pronounced as [py guizo]| is a Python 3 implementation of the Porter Stemmer algorithm (An algorithm for suffix stripping M.F.Porter 1980 see: (http://tartarus.org/martin/PorterStemmer/def.txt). pygwizo is very extensible and comes with cool features.

Pygwizo is an awesome tool for projects involving:

1. Machine Learning algorithms, specifically Natural language processing (NLP).
2. Inverted indices for Information Retrieval Systems eg Search Engines.

The string that the Ingest() function takes is case insensitive

Installation

Just download pygwizo.py and put it in your project directory.

Usage

DeepStem:

The ingested word goes through every step in the algorithm.

#!/usr/bin/env python3
# -*- coding:utf-8 -*-

import pygwizo

if __name__ == "__main__":
  val = pygwizo.Ingest("abilities")
  print(val.deep_stem())

$ ./main.py

Stem: able

shallow_stem

The word Goes through each step in accending order just like DeepStem. But The difference is that it return when the original word is changed.

#!/usr/bin/env python3
# -*- coding:utf-8 -*-

import pygwizo

if __name__ == "__main__":
  val = pygwizo.Ingest("abilities")
  print(val.shallow_stem())

$ ./main.py

Stem: abiliti

shallow_stemmed

Works exactly like ShallowStem. The difference is that it returns the Step that was used instead of the stem.

#!/usr/bin/env python3
# -*- coding:utf-8 -*-

import pygwizo

if __name__ == "__main__":
  val = pygwizo.Ingest("abilities")
  print(val.shallow_stemmed())

$ ./main.py

Steps used: step_1a()

vowcon and Measure

#!/usr/bin/env python3
# -*- coding:utf-8 -*-

import pygwizo

if __name__ == "__main__":
  val = pygwizo.Ingest("abilities")
  # vowcon
  print("{0} has Pattern {1}".format(val.word, val.vowcon))

  # Measure value [v]vc{m}[c]
  print("{0} has Measure value {1}".format(val.word, val.measure))

$ ./main.py

abilities has Pattern vcvcvcvvc
abilities has Measure value 4

Access Any step Directly

pygwizo is so extensible that it allows you to use its core components. you can explicitly specify which Step to use on an ingested string.

#!/usr/bin/env python3
# -*- coding:utf-8 -*-

import pygwizo

if __name__ == "__main__":
  val = pygwizo.Ingest("troubled")
  # Stem only with Step_1b
  print(val.step_1b())

  val.word = "vietnamization"
  # Stem only with Step_2
  print(val.step_2())

  val.word = "electriciti"
  # Stem only with Step_3
  print(val.step_3())

$ ./main.py

trouble
vietnamize
electric

File Stem Performance.

pygwizo stemmed the file input.txt containing 23531 words in 10.5375394821167s on an AMD C655 Laptop.

#!/usr/bin/env python3
# -*- coding:utf-8 -*-

import pygwizo
import time

if __name__ == "__main__":
    array = open("input.txt").read().splitlines()
    start_time = time.time()
    for word in array:
        val = pygwizo.Ingest(word)
        deep = val.deep_stem()
        with open("stem.txt", "a") as file:
            stem = deep + "\n"
            file.writelines(stem)
            print(word, " ---> ", deep)

    print("============================")
    print("Done After: %ss" % (time.time() - start_time))
    print("============================")

$ ./main.py

Done After: 10.5375394821167s

License

BSD style - see license file.

Developer

kampamba chanda (a.k.a kampsy). twitter: @kampsy google+: google.com/+kampambachanda email: kampsycode@gmail.com