Copyright 2010-2015 Brigham Young University
The topical guide is a tool aimed at helping laymen and experts intuitively navigate the topic distribution produced by a topic model, such as LDA, over a given dataset.
Learn more by visiting the wiki.
Clone the source with the following:
git clone https://github.com/BYU-NLP-Lab/topicalguide.git
Then navigate to the topicalguide directory.
Dependencies are listed in the requirements.txt file and can be easily installed with:
pip install -r requirements.txt
If you want to use the word stemmer then run the following:
cd tools/stemmer/
./make_english_stemmer.sh
In order for django to run it needs settings.py to be created.
First, copy the template:
cp topicalguide/settings.py.template topicalguide/settings.py
Second, go to this website to generate your SECRET_KEY.
Open topicalguide/settings.py in your favorite text editor.
Insert your generated SECRET_KEY where it says
SECRET_KEY=''
Third, set your database settings. You could use sqlite, which is configured for you. If you want to use Postgres there are instructions below for setting it up on Fedora.
Fourth, set DEBUG = True to use the developement server.
If DEBUG is set to False then ALLOWED_HOSTS must be set. See Django's documentation for further details.
Optionally, configure other various django options.
You can run (from the project's root directory):
./default_datasets/import_state_of_the_union.sh
or
python tg.py import default_datasets/state_of_the_union/ --identifier state_of_the_union --public --public-documents
python tg.py analyze state_of_the_union --number-of-topics 100
For more options on importing see the documentation by running:
python tg.py -h
Start up the development web server with the following command:
python manage.py runserver
and then open a web browser and navigate to http://localhost:8000/.
It can be tons faster to use postgres. Because it took me a bit of hunting to get it to behave, here's how to do it on Fedora::
sudo yum install postgres*
sudo yum install python-psycopg2
sudo systemctl enable postgresql.service
sudo postgresql-setup initdb
sudo -u postgres createdb topicalguide
In your settings.py you'll then need to switch DBTYPE to 'postgres' and update the settings for the postgres database. For a local connection, we prefer to use peer authentication, so we leave the user and password blank. If you prefer to use md5 authentication, set the user and password appropriately. Update the name field to 'topicalguide', or whatever you named the database created for the topical guide.
Once the database is setup run the commands starting at step 4 with the prefix
sudo -u postgres.
As an example, the following template apache configuration file could be filled in and placed in /etc/httpd/conf.d to run your server assuming your project is located at /srv/topicalguide::
ServerAdmin [email protected]
ServerName your.server.com
ErrorLog /var/log/httpd/your-error_log
CustomLog /var/log/httpd/your-access_log common
LogLevel warn
Alias /scripts /srv/topicalguide/topic_modeling/media/scripts/
Alias /styles /srv/topicalguide/topic_modeling/media/styles/
Alias /site-media /srv/topicalguide/topic_modeling/media
<Directory "/srv/topicalguide/topic_modeling/media">
Require all granted
</Directory>
WSGIApplicationGroup %{GLOBAL}
WSGIScriptAlias / /srv/topicalguide/topic_modeling/apache/django.wsgi
<Directory "/srv/topicalguide/topic_modeling/apache">
Require all granted
</Directory>
Note that the django.wsgi file we use is included in the repository. Further information on setting up Django to run with Apache can be found in the official Django documentation.
We welcome contributions to the code of this project. The best way to do so is to fork the code and then submit a pull request. For licensing purposes we ask that you assignthe copyright of any patch that you contribute to Brigham Young University.
We also request that any published papers resulting from the use of this code cite the following paper:
Matthew J. Gardner, Joshua Lutes, Jeff Lund, Josh Hansen, Dan Walker, Eric Ringger, Kevin Seppi. "The Topic Browser: An Interactive Tool for Browsing Topic Models". In the Proceedings of the Workshop on Challenges of Data Visualization, held in conjunction with the 24th Annual Conference on Neural Information Processing Systems (NIPS 2010). December 11, 2010. Whistler, BC, Canada.
This file is part of the Topical Guide.
The Topical Guide is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.
The Topical Guide is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License along with the Topical Guide.
If you have inquiries regarding any further use of the Topical Guide, please contact:
Copyright Licensing Office
Brigham Young University
3760 HBLL
Provo, UT 84602
Phone: (801) 422-9339 or (801) 422-3821
Email: [email protected]