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install.html
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<!DOCTYPE html>
<head>
<meta charset="utf-8">
<meta name="generator" content="Docutils 0.17: http://docutils.sourceforge.net/" />
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<title>NLTK :: Installing NLTK</title>
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<h1>
<a href="index.html">NLTK</a>
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<h1>Documentation</h1>
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<p class="caption" role="heading"><span class="caption-text">NLTK Documentation</span></p>
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<p class="caption" role="heading"><span class="caption-text">Installation</span></p>
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<li class="toctree-l1 current"><a class="current reference internal" href="#">Installing NLTK</a></li>
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<section id="installing-nltk">
<h1>Installing NLTK<a class="headerlink" href="#installing-nltk" title="Permalink to this heading">¶</a></h1>
<p>NLTK requires Python versions 3.7, 3.8, 3.9, 3.10 or 3.11.</p>
<p>For Windows users, it is strongly recommended that you go through this guide to install Python 3 successfully <a class="reference external" href="https://docs.python-guide.org/starting/install3/win/#install3-windows">https://docs.python-guide.org/starting/install3/win/#install3-windows</a></p>
<section id="setting-up-a-python-environment-mac-unix-windows">
<h2>Setting up a Python Environment (Mac/Unix/Windows)<a class="headerlink" href="#setting-up-a-python-environment-mac-unix-windows" title="Permalink to this heading">¶</a></h2>
<p>Please go through this guide to learn how to manage your virtual environment managers before you install NLTK, <a class="reference external" href="https://docs.python-guide.org/dev/virtualenvs/">https://docs.python-guide.org/dev/virtualenvs/</a></p>
<p>Alternatively, you can use the Anaconda distribution installer that comes “batteries included” <a class="reference external" href="https://www.anaconda.com/distribution/">https://www.anaconda.com/distribution/</a></p>
</section>
<section id="mac-unix">
<h2>Mac/Unix<a class="headerlink" href="#mac-unix" title="Permalink to this heading">¶</a></h2>
<ol class="arabic simple">
<li><p>Install NLTK: run <code class="docutils literal notranslate"><span class="pre">pip</span> <span class="pre">install</span> <span class="pre">--user</span> <span class="pre">-U</span> <span class="pre">nltk</span></code></p></li>
<li><p>Install Numpy (optional): run <code class="docutils literal notranslate"><span class="pre">pip</span> <span class="pre">install</span> <span class="pre">--user</span> <span class="pre">-U</span> <span class="pre">numpy</span></code></p></li>
<li><p>Test installation: run <code class="docutils literal notranslate"><span class="pre">python</span></code> then type <code class="docutils literal notranslate"><span class="pre">import</span> <span class="pre">nltk</span></code></p></li>
</ol>
<p>For older versions of Python it might be necessary to install setuptools (see <a class="reference external" href="https://pypi.python.org/pypi/setuptools">https://pypi.python.org/pypi/setuptools</a>) and to install pip (<code class="docutils literal notranslate"><span class="pre">sudo</span> <span class="pre">easy_install</span> <span class="pre">pip</span></code>).</p>
</section>
<section id="windows">
<h2>Windows<a class="headerlink" href="#windows" title="Permalink to this heading">¶</a></h2>
<p>These instructions assume that you do not already have Python installed on your machine.</p>
<section id="bit-binary-installation">
<h3>32-bit binary installation<a class="headerlink" href="#bit-binary-installation" title="Permalink to this heading">¶</a></h3>
<ol class="arabic simple">
<li><p>Install Python 3.8: <a class="reference external" href="https://www.python.org/downloads/">https://www.python.org/downloads/</a> (avoid the 64-bit versions)</p></li>
<li><p>Install Numpy (optional): <a class="reference external" href="https://numpy.org/install/">https://numpy.org/install/</a></p></li>
<li><p>Install NLTK: <a class="reference external" href="https://pypi.python.org/pypi/nltk">https://pypi.python.org/pypi/nltk</a></p></li>
<li><p>Test installation: <code class="docutils literal notranslate"><span class="pre">Start>Python38</span></code>, then type <code class="docutils literal notranslate"><span class="pre">import</span> <span class="pre">nltk</span></code></p></li>
</ol>
</section>
</section>
<section id="installing-third-party-software">
<h2>Installing Third-Party Software<a class="headerlink" href="#installing-third-party-software" title="Permalink to this heading">¶</a></h2>
<p>Please see: <a class="reference external" href="https://github.com/nltk/nltk/wiki/Installing-Third-Party-Software">https://github.com/nltk/nltk/wiki/Installing-Third-Party-Software</a></p>
</section>
<section id="installing-nltk-data">
<h2>Installing NLTK Data<a class="headerlink" href="#installing-nltk-data" title="Permalink to this heading">¶</a></h2>
<p>After installing the NLTK package, please do install the necessary datasets/models for specific functions to work.</p>
<p>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 <code class="docutils literal notranslate"><span class="pre">python</span> <span class="pre">-m</span> <span class="pre">nltk.downloader</span> <span class="pre">popular</span></code>, or in the Python interpreter <code class="docutils literal notranslate"><span class="pre">import</span> <span class="pre">nltk;</span> <span class="pre">nltk.download('popular')</span></code></p>
<p>For details, see <a class="reference external" href="https://www.nltk.org/data.html">https://www.nltk.org/data.html</a></p>
</section>
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<a href="https://github.com/nltk/nltk/tree/3.8.1">3.8.1</a>
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Jan 02, 2023
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