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Installing NLTK
===============
NLTK requires Python versions 3.9, 3.10, 3.11, 3.12 or 3.13.
For Windows users, it is strongly recommended that you go through this guide to install Python 3 successfully https://docs.python-guide.org/starting/install3/win/#install3-windows
Setting up a Python Environment (Mac/Unix/Windows)
--------------------------------------------------
Please go through this guide to learn how to manage your virtual environment managers before you install NLTK, https://docs.python-guide.org/dev/virtualenvs/
Alternatively, you can use the Anaconda distribution installer that comes "batteries included" https://www.anaconda.com/distribution/
Mac/Unix
--------
#. Install NLTK: run ``pip install --user -U nltk``
#. Install Numpy (optional): run ``pip install --user -U numpy``
#. Test installation: run ``python`` then type ``import nltk``
For older versions of Python it might be necessary to install setuptools (see https://pypi.python.org/pypi/setuptools) and to install pip (``sudo easy_install pip``).
Windows
-------
These instructions assume that you do not already have Python installed on your machine.
32-bit binary installation
~~~~~~~~~~~~~~~~~~~~~~~~~~
#. Install Python 3.12: https://www.python.org/downloads/ (avoid the 64-bit versions)
#. Install Numpy (optional): https://numpy.org/install/
#. Install NLTK: https://pypi.python.org/pypi/nltk
#. Test installation: ``Start>Python312``, then type ``import nltk``
Installing Third-Party Software
-------------------------------
Please see: https://github.com/nltk/nltk/wiki/Installing-Third-Party-Software
Installing NLTK Data
-------------------------------
After installing the NLTK package, please do install the necessary datasets/models for specific functions to work.
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 interpreter ``import nltk; nltk.download('popular')``
For details, see https://www.nltk.org/data.html
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