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The
Deep Email Miner Application is a software solution
for the multistaged analysis of an Email Corpus.
Social network analysis and text mining techniques are connected
to enable an in depth view into the underlying information.
Written in Java, published under the
GNU GPL
and hosted by
Sourceforge,
it runs under Windows, Linux and any other operating system
with Java Runtime Environment 5.0 or later installed.
News
- 28.03.2012 - Version v1.1
-
The release of the Deep Email Miner Application v1.1 is
essentially a quick-fix interim release to adress the application
freeze issue on recent Java environments. Maintenance and further
support has been taken over by Philippe Vanpeperstraete. We are looking
forward to many more work on this project in the future.
Until then, this homepage will provide the runnable application
itself, as well as the program documentation.
If you are interested in further developing the application, we would
be very pleased to get in touch with you. Either way, the program
sources are now available as an archive from the download page.
- 09.06.2006 - Version v1
-
The release of the Deep Email Miner Application v1 marks
the final version of the first development stage. We are looking
forward to many more work on this project in the future.
Until then, this homepage will provide the runnable application
itself, as well as the program documentation.
If you are interested in further developing the application, we would
be very pleased to get in touch with you. Either way, the program
sources are now available as an archive from the download page.
The new program version integrates some basic statistical text
analysis with the open source Java library
WVTool.
The refactoring of the email cache component and a good deal of
different bugfixes highly improve the program's reliability.
Last but not least, the new software manual gives a detailed
description of the user interface and the underlying functionality.
- 26.05.2006 - Version 0.7
-
New features in today's version: A full working thread
detection, the labelling user interface, zoom buttons and
many small (but nice) features to the user interface,
improving the handling of the network and it's emails.
In the meantime, I'm more and more focusing on writing
the software manual, the application report and a
project presentation.
Last but not least: there are new screenshots on the
homepage. Enjoy!
- 19.05.2006 - Version 0.6
-
This week's update introduces the first rudimentary text
mining features. The email thread detection searches for
chains of replying emails on the same subject. The detected
threads can be listed and further explored.
As the base for future text mining techniques, the newly
implemented labelling user interface supports the
user in the classification of training- and test-data.
These labels can also be saved to/loaded from a file.
In the future, this component will be connected to the
thread detection to further improve the labelling process.
Last but not least, the email viewer has been modified to
search for all recipients of the same email message and
a lot of bugs have been fixed.
- 12.05.2006 - Version 0.5
-
Apart from some smaller changes and bugfixes, the new
release adds a lot of new features which strongly improve
the analysis process.
The new viewers for vertex and edge sets give a short
overview over the network's components, whereas the email
viewer enables the user to have a deeper look to the actual
data. The enhanced clustering mode with cluster grouping
and cluster viewer and the added ranking functionalities
allow new ways of viewing the network.
In addition to that, it is now possible to configure many
program settings via a configuration file.
- 05.05.2006 - Version 0.4
-
Today's new version offers a variety of new features.
In addition to some changes to the clustering tab, the
new filtering tab has been introduced. Edges in the social
network can now be filtered depending on the date and recipient
type (TO, CC, BCC) of their emails as well as on the number of
contained emails.
Furthermore, the database reader has been strongly debugged and
is now fully capable of building networks from the database and
displaying email sets of all kinds. This can best be seen in the
new node/edge context menu.
Last but not least, the new email cache increases the performance
by minimizing the number of necessary database queries.
- 28.04.2006 - Version 0.3
-
Version 0.3 adds a first version of the email message viewer,
improved tab controls and fixes several bugs.
- 21.04.2006 - Initial software release: Version 0.2
-
The initial version of the DeepEmailMiner has been released.
Version 0.2 features a simple GUI with graph drawing, statistics and clustering
algorithms. The graph can be either a sample graph or loaded from a Mysql database.
- 04.04.2006 - Project hosted by Sourceforge.net
-
As of today, the development process data will be hosted by the Open Source software
development web site Sourceforge.net using
a publicly available Subversion programming data repository.
- 30.03.2006 - Development Started
-
The development of the Deep Email Miner as a project at the UTS started today.
The first component, a social network analysis-module, bases on the
Java Universal Network/Graph Framework JUNG.