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Lære Lemmatizer | Natural Language Handling
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.

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  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.

Løsning

# 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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