---
title: "SIGIR 2018 Tutorial: Probabilistic Topic Models"
layout: page
category: demo
order: 5
---

# Presentation
[Tutorial Presentation Slides](https://www.dropbox.com/s/5qmjfcutwowvv7h/sigir18-tutorial-topic-model-zhai.pptx?dl=0)

# Hands-on Exercises

Requirements:

- Python (2.7, 3.4, 3.5, or 3.6; 3.7 support soon)
- Windows, macOS, or Linux
- `pip` capable of installing Python wheels

## Hands-on: Topic Models for Retrieval

<script src="https://gist.github.com/skystrife/2942c00ba09905320535b3e1e5784ee7.js"></script>

## Hands-on: Text Mining with Topic Models

<script src="https://gist.github.com/skystrife/bf9c75cf0abe1c9a98acaf2d846fc350.js"></script>

---
title: "SIGIR 2018 Tutorial: Probabilistic Topic Models"
layout: page
category: demo
order: 5
---

# Presentation
[Tutorial Presentation Slides](https://www.dropbox.com/s/5qmjfcutwowvv7h/sigir18-tutorial-topic-model-zhai.pptx?dl=0)

# Hands-on Exercises

Requirements:

- Python (2.7, 3.4, 3.5, or 3.6; 3.7 support soon)
- Windows, macOS, or Linux
- `pip` capable of installing Python wheels

## Hands-on: [Topic Models for Retrieval](http://nbviewer.jupyter.org/gist/skystrife/2942c00ba09905320535b3e1e5784ee7)

<script src="https://gist.github.com/skystrife/2942c00ba09905320535b3e1e5784ee7.js"></script>

## Hands-on: [Text Mining with Topic Models](http://nbviewer.jupyter.org/gist/skystrife/bf9c75cf0abe1c9a98acaf2d846fc350)

<script src="https://gist.github.com/skystrife/bf9c75cf0abe1c9a98acaf2d846fc350.js"></script>

Add links to nbviewer in case GitHub Gist embedding does not render.
Add links to nbviewer in case GitHub Gist embedding does not render.
