शब्द आवृत्ति विश्लेषण

# Import the necessary functions
from torchtext.data.utils import ____
from nltk.probability import ____

text = "In the city of Dataville, a data analyst named Alex explores hidden insights within vast data. With determination, Alex uncovers patterns, cleanses the data, and unlocks innovation. Join this adventure to unleash the power of data-driven decisions."

# Initialize the tokenizer and tokenize the text
tokenizer = ____("basic_english")
tokens = tokenizer(____)

threshold = 1
# Remove rare words and print common tokens
freq_dist = ____(____)
common_tokens = [token for token in tokens if ____[token] > ____]
print(common_tokens)