Mastering NLP: 100+ Quick Python One-liner Codes for Natural Language Processing

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Here are 100+ Python one-liners for various natural language processing (NLP) tasks. Note that while these one-liners can be concise, readability and understanding the code’s purpose are also crucial in real-world applications.

Text Tokenization:

1. Word Tokenization:

words = nltk.word_tokenize(text)

2. Sentence Tokenization:

sentences = nltk.sent_tokenize(text)

Text Pre-processing:

3. Lowercase Conversion:

lowercase_text = text.lower()

4. Remove Punctuation:

no_punct_text = ''.join([c for c in text if c not in string.punctuation])

5. Remove Stopwords:

filtered_words = [word for word in words if word not in stopwords]

6. Remove Numbers:

text_no_numbers = ''.join([i for i in text if not i.isdigit()])

7. Remove Extra Whitespaces:

text_clean = ' '.join(text.split())