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= "Это пример текста. Он содержит несколько слов, и некоторые слова повторяются."

      word_freq = analyze_word_frequency(text)

      # Вывод наиболее часто встречающихся слов

      most_common_words = word_freq.most_common(5)

      for word, frequency in most_common_words:

      print(f"{word}: {frequency}")

      # Визуализация частоты слов

      word_freq.plot(30, cumulative=False)

      plt.show()

      ```

      В этом примере также используется библиотека NLTK. Функция `analyze_word_frequency` принимает текст в качестве аргумента. Текст токенизируется с помощью `word_tokenize`, а затем вычисляется частота встречаемости слов с использованием `FreqDist`.

      Конец ознакомительного фрагмента.

      Текст предоставлен ООО «Литрес».

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