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Aprenda Lemmatizer | Identifying the Most Frequent Words in Text
Identifying the Most Frequent Words in Text

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Lemmatizer

A lemmatizer is a critical tool in natural language processing that reduces words to their base form or lemma. By simplifying words to their base forms, a lemmatizer enhances both the accuracy and efficiency of various natural language processing algorithms and techniques.

Tarefa

Swipe to start coding

  1. Import the WordNetLemmatizer class for lemmatization from NLTK.
  2. Create an instance of the WordNetLemmatizer.
  3. Apply lemmatization to each word in the list of stemmed words.

Solução

# Import the WordNetLemmatizer class from NLTK for lemmatization
from nltk.stem import WordNetLemmatizer

# Download the WordNet resource, used by the lemmatizer
nltk.download("wordnet")

# Create an instance of the WordNetLemmatizer
lemmatizer = WordNetLemmatizer()

# Apply lemmatization to each word in the list of stemmed words
lemmatized_words = [lemmatizer.lemmatize(word) for word in stemmed_words]

# Display the lemmatized words
lemmatized_words

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Seção 1. Capítulo 8
AVAILABLE TO ULTIMATE ONLY
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