Text Processor with Dictionaries and Sets in Python

def analyze_text(text):
    words = text.lower().split()
    word_freq = {}
    unique_words = set()
    
    for word in words:
        clean_word = word.strip('.,!?;:')
        if clean_word:
            word_freq[clean_word] = word_freq.get(clean_word, 0) + 1
            unique_words.add(clean_word)
    
    return word_freq, unique_words


def get_top_words(word_freq, n=3):
    sorted_words = sorted(word_freq.items(), key=lambda x: x[1], reverse=True)
    return sorted_words[:n]


if __name__ == "__main__":
    sample_text = "The quick brown fox jumps over the lazy dog. The dog sleeps!"
    word_freq, unique_words = analyze_text(sample_text)
    
    print("Word frequency dictionary:")
    print(word_freq)
    print("\nUnique words set:")
    print(unique_words)
    print("\nTop 3 most frequent words:")
    print(get_top_words(word_freq))