Python class that does text analysis and compiles a hash map of words and word following given word sorted by frequency

TextAnalyzer.py

from collections import Counter
import pprint


class TextAnalyzer:

    text_file = 'example.txt'

    raw_data = None

    word_map = None

    def __init__(self):
        self.prepare_data()
        self.analyze()
        pprint.pprint(self.word_map)

    def prepare_data(self):
        with open(self.text_file, 'r') as example:
            self.raw_data=example.read().replace('\n', ' ')
        example.close()

    def analyze(self):
        words = self.raw_data.split()

        word_pairs = [[words[i],words[i+1]] for i in range(len(words)-1)]

        self.word_map = dict()

        for word in list(set(words)):
            for pair in word_pairs:
                if word == pair[0]:
                    self.word_map.setdefault(word, []).append(pair[1])

        self.word_map[word] = Counter(self.word_map[word]).most_common(11)


TextAnalyzer()