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Termite Version 1!
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9 changes: 9 additions & 0 deletions .gitignore
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.DS_Store
*.pyc
closure-compiler.jar
/lib
/client-template/*.min.js
/client-template/d3.v3.js
/client-template/data
/mallet-2.0.7
/stmt-0.4.0/tmt-0.4.0.jar
24 changes: 24 additions & 0 deletions LICENSE
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Copyright (c) 2013, Leland Stanford Junior University
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the <organization> nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL <COPYRIGHT HOLDER> BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
158 changes: 158 additions & 0 deletions README
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README for Termite, a topic model visualization tool.

---------------
INFORMATION
---------------
Termite is a visualization tool for inspecting the output of statistical
topic models, and based on the techniques described in the following publication:

Termite: Visualization Techniques for Assessing Textual Topic Models
Jason Chuang, Christopher D. Manning, Jeffrey Heer
Computer Science Dept, Stanford University
http:https://vis.stanford.edu/papers/termite

This tool is developed by:
: Jason Chuang <[email protected]>
: Ashley Jin <[email protected]>

and is distributed under the BSD-3 license.

-----------
LICENSE
-----------
Copyright (c) 2013, Leland Stanford Junior University
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the <organization> nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL <COPYRIGHT HOLDER> BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

----------------------
ADDITIONAL CREDITS
----------------------
Termite requires the use of the following libraries and tools.
We thank their respective authors for developing and distributing the tools.

Mallet: Machine learning for language toolkit
Project website: http:https://mallet.cs.umass.edu
Developed by Andrew McCallum, et al.
Distributed under a CPL license: lib/LICENSE-mallet

STMT: Stanford topic modeling toolbox
Project website: http:https://nlp.stanford.edu/software/tmt
Developed by Daniel Ramage, et al.
Distributed under a GNU license: lib/LICENSE-stmt

D3 javascript visualization library
Project website: http:https://d3js.org
Developed by Mike Bostock, et al.
Distributed under a BSD license: lib/LICENSE-d3

Google closure javascript compiler
Project website: https://developers.google.com/closure/compiler/
Developed by Google engineers
Distributed under an Apache license: lib/LICENSE-closure-compiler

html5slider
Project website: https://github.com/fryn/html5slider
Developed by Frank Yan
Distributed under an MIT license: http:https://opensource.org/licenses/MIT

------------------
ONE-TIME SETUP
------------------
Run the setup script to fetch the following tools, libraries, and prepare all javascript
files needed by Termite. This script only needs to be run once when Termite is first
downloaded onto a new machine.
>> ./setup.sh

Libraries fetched include:
: mallet
: closure-compiler.js
: d3.js
: html5slider.js

The script creates a minified version of all javascript files.

-----------------------
BUILD A TOPIC MODEL
-----------------------
Building a topic model in Termite requires running a single python script. The script reads
in an input text corpus, and produces an output folder whose content can be inspected
using a web browser, described in the next section.

Customize configuration file with the following information. A sample configuration
file can be found in 'example.cfg'
: path to text corpus
: output directory for holding files generated by Termite
: number of topics to train
: number of terms to seriate
: topic model (either mallet or stmt)

Process the text corpus, and build a topic model by running the execution script.
>> ./execute.py file.cfg

The execution script calls in order:
1. tokenize.py Tokenize the text corpus
2. train_mallet.py Train a topic model using MALLET
train_stmt.py or STMT.
3. compute_saliency.py Compute term saliency
4. compute_similarity.py Compute term similarity
5. compute_seriation.py: Seriates terms
6. prepare_data_for_client.py: Generates datafiles for client
7. prepare_vis_for_client.py: Copies necessary scripts for client

----------------------------
VIEW TOPIC MODEL OUTPUTS
----------------------------
You are now ready to visualize the topic model outputs! Termite's output can be viewed in
a web browser. To view the files locally (on your own computer), you need to set up a local
web server. Alternatively, you may copy the output file to a web server to publish the results.

Termite outputs are stored in the 'public_html' subfolder within the output directory.

To set up a local webserver:
1. Change into output directory (specified in the configuration file)
>> cd <output_folder>/public_html
2. Start a local server using python
>> ./web.sh
4. Open http:https://localhost:8888 in a modern web browser (Chrome, Safari, Firefox, or Opera)
to view a visualization of the model outputs.

-----------------------------
TOPIC MODEL VISUALIZATION
-----------------------------
The visualization should consist of a matrix view with a frequency bar view to the right.
The top right contains user controls, two slider bars and one input text box. User
controls are explained in more detail in the 'VISUALIZATION USE CASES' section.

When the mouse is placed over terms, topics, circles, or bars in the matrix or frequency
bar view, the associated term, topic, bar, and circles will be highlighted in both views.

---------------------------
VISUALIZATION USE CASES
---------------------------
The Termite visualization tool has a set of user controls in the top right section of the
webpage. The user may specify
: the number of terms with highest affinity to show
: the number of terms with highest saliency to show
: specific terms to always show
(Note: the highest affinity term set and highest saliency term set may contain overlapping words)
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