DarkmatterVale/regex4dummies

from nltk.stem.porter import *
import nltk

"""
Normalizes the incoming text and returns said normalized text

Class information:
- name: Normalizer
- version: 1.4.3
- author: Vale Tolpegin
"""


class Normalizer:
    def __init__(self):
        """ Blank constructor """

        pass

    def normalize_sentence_info(self, sentence_info):
        """
        Method to normalize text

        This is accomplished by:
        - Removing punctuation
        - Removing possession
        - Removing capitalization
        - Correcting spelling

        Input:
        - text: String containing the text to normalize
        """

        # Create a stemmer object
        stemmer = PorterStemmer()

        # Normalizing sthe patterns
        # Make the subject, verb, and object lowercase
        sentence_info[0] = sentence_info[0].lower()
        sentence_info[1] = sentence_info[1].lower()
        sentence_info[2] = sentence_info[2].lower()

        # Implement stemming
        sentence_info[0] = stemmer.stem(sentence_info[0])
        sentence_info[1] = stemmer.stem(sentence_info[1])
        sentence_info[2] = stemmer.stem(sentence_info[2])

        # Return normalized information
        return sentence_info