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  1. NLTK :: Natural Language Toolkit

    Oct 1, 2025 · Written by the creators of NLTK, it guides the reader through the fundamentals of writing Python programs, working with corpora, categorizing text, analyzing linguistic structure, and more.

  2. nltk package

    Submodules nltk.tree.immutable module ImmutableMultiParentedTree ImmutableParentedTree ImmutableProbabilisticTree ImmutableTree nltk.tree.parented module MultiParentedTree …

  3. NLTK :: Installing NLTK

    Oct 1, 2025 · If you’re unsure of which datasets/models you’ll need, you can install the “popular” subset of NLTK data, on the command line type python -m nltk.downloader popular, or in the Python …

  4. Example usage of NLTK modules

    Oct 1, 2025 · Example usage of NLTK modules Sample usage for bleu Sample usage for bnc Sample usage for ccg Sample usage for ccg_semantics Sample usage for chat80 Sample usage for childes …

  5. NLTK Book

    This version of the NLTK book is updated for Python 3 and NLTK 3. The first edition of the book, published by O'Reilly, is available at http://nltk.org/book_1ed/.

  6. NLTK :: nltk

    Oct 1, 2025 · Only nltk.app, nltk.draw, and demo modules should # have top-level tkinter imports.

  7. 1. Language Processing and Python - NLTK

    Before going further you should install NLTK 3.0, downloadable for free from http://nltk.org/. Follow the instructions there to download the version required for your platform.

  8. Installing NLTK Data

    Oct 1, 2025 · The downloader will search for an existing nltk_data directory to install NLTK data. If one does not exist it will attempt to create one in a central location (when using an administrator account) …

  9. Sample usage for data - NLTK

    Oct 1, 2025 · The nltk.data module contains functions that can be used to load NLTK resource files, such as corpora, grammars, and saved processing objects. Loading Data Files

  10. NLTK :: Sample usage for sentiment

    Oct 1, 2025 · Vader >>> from nltk.sentiment.vader import SentimentIntensityAnalyzer >>> sentences = ["VADER is smart, handsome, and funny.", # positive sentence example ... "VADER is smart, …