https://github.com/blei-lab/dtm

This implements topics that change over time (Dynamic Topic Models) and a model of how individual documents predict that change.
https://github.com/blei-lab/dtm

Last synced: about 1 month ago
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This implements topics that change over time (Dynamic Topic Models) and a model of how individual documents predict that change.

• Host: GitHub
• URL: https://github.com/blei-lab/dtm
• Owner: blei-lab
• License: gpl-2.0
• Created: 2015-03-19T14:30:43.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2017-12-12T16:47:59.000Z (about 7 years ago)
• Last Synced: 2024-08-03T18:21:51.190Z (4 months ago)
• Language: Shell
• Size: 4.38 MB
• Stars: 196
• Watchers: 46
• Forks: 79
• Open Issues: 8
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-topic-models - dtm - C implementation of dynamic topic models by David Blei & Sean Gerrish (Research Implementations / Embedding based Topic Models)

README

        
# Dynamic Topic Models and the Document Influence Model

This implements topics that change over time (Dynamic Topic Models) and a model of how individual documents predict that change.

This code is the result of work by David M. Blei and Sean M. Gerrish.

(C) Copyright 2006, David M. Blei

(C) Copyright 2011, Sean M. Gerrish

It includes software corresponding to models described in the

following papers:

[1] [D. Blei and J. Lafferty. Dynamic topic models. In

   Proceedings of the 23rd International Conference on Machine Learning,

   2006.](http://www.cs.columbia.edu/~blei/papers/BleiLafferty2006a.pdf)

[2] [S. Gerrish and D. Blei.  A Language-based Approach to Measuring

   Scholarly Impact.  In Proceedings of the 27th International Conference

   on Machine Learning, 2010.](http://www.cs.columbia.edu/~blei/papers/GerrishBlei2010.pdf)

These files are part of DIM.

DIM is free software; you can redistribute it and/or modify it under

the terms of the GNU General Public License as published by the Free

Software Foundation; either version 2 of the License, or (at your

option) any later version.

DIM 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 General Public License

for more details.

You should have received a copy of the GNU General Public License

along with this program; if not, write to the Free Software

Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307

USA

------------------------------------------------------------------------

A. COMPILING

You will need to have several libraries installed to compile this

package.  One of these is gsl-devel.  Depending on your package

manager, you may be able to install this with *one* of the following

commands:

  sudo aptitude install libgsl0-dev # Ubuntu 10.04

  sudo zypper install gsl-devel     # OpenSUSE 11.2

  sudo yum install gsl-devel        # CentOS 5.5

You can make the main program by changing your working directory to

dtm/ and typing:

  make

This software has been compiled on Ubuntu 10.04, OpenSUSE 11.2, and

CentOS 5.5.  Depending on your environment, you may need to install

additional libraries.

B. RUNNING

Once everything is compiled, you can run this software by typing the

command "./main ", where flags is a list of command-line

options.  An example command and a description of the input and output

files is given in dtm/sample.sh.  You can see all command-line options

by typing

  ./main --help

(although we suggest you start out with the example in dtm/sample.sh).

C. SUPPORT and QUESTIONS

This software is provided as-is, without any warranty or support,

WHATSOEVER.  If you have any questions about running this software,

you can post your question to the topic-models mailing list at

[email protected].  You are welcome to submit

modifications or bug-fixes of this software to the authors, although

not all submissions may be posted.

D. USAGE

This progam takes as input a collection of text documents and creates

as output a list of topics over time, a description of each document

as a mixture of these topics, and (possibly) a measure of how

"influential" each document is, based on its language.

We have provided an example dataset, instructions for formatting input

data and processing output files, and example command lines for

running this software in the file dtm/sample.sh.

E. CHANGES

Changes in this version include:

 - Change the default top_obs_var flag to 0.5 (from -1.0)

 - Change to use more iterations and a tighter convergence criterion in each doc's E-step.

 - Change to initialize random topics to be a bit more "flat".