FROM SITE: Topic models provide a simple way to analyze large volumes of unlabeled text. A "topic" consists of a cluster of words that frequently occur together. Using contextual clues, topic models can connect words with similar meanings and distinguish between uses of words with multiple meanings.
Kenton McHenry suggested as "an extensive Java library for machine learning algorithms."
FROM CITE: Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
Kenton McHenry suggested as "as a popular object oriented programming language. A feature of Java is that code created on one machine is capable of being run on any machine (regardless of OS and hardware). This is the compiler to build Java code."
FROM SITE: The Software Environment for the Advancement of Scholarly Research (SEASR), funded by the Andrew W. Mellon Foundation, provides a research and development environment capable of powering leading-edge digital humanities initiatives.
FROM SITE: *ORA is a dynamic meta-network assessment and analysis tool developed by CASOS at Carnegie Mellon. It contains hundreds of social network, dynamic network metrics, trail metrics, procedures for grouping nodes, identifying local patterns, comparing and contrasting networks, groups, and individuals from a dynamic meta-network perspective.
With the free time at the end of the day I'm trying to build a map with a heavily edited version of the workshop agenda. Once I have that analysis and visual, I'm hoping to do the same with the tweets generated through the conference and compare/contrast results. I'm even betting there is a way to combine the two texts...but that is way above my beginner pay grade.
FROM SITE: Processing is an open source programming language and environment for people who want to create images, animations, and interactions. Initially developed to serve as a software sketchbook and to teach fundamentals of computer programming within a visual context, Processing also has evolved into a tool for generating finished professional work
Kenton McHenry suggested as "a lightweight open source driver to get color and depth data off of the Kinect camera."
FROM SITE: OpenKinect is an open community of people interested in making use of the amazing Xbox Kinect hardware with our PCs and other devices. We are working on free, open source libraries that will enable the Kinect to be used with Windows, Linux, and Mac.
Kenton McHenry suggested as "a Java wrapper to OpenCV."
FROM SITE: JavaCV first provides wrappers to commonly used libraries by researchers in the field of computer vision: OpenCV, FFmpeg, libdc1394, PGR FlyCapture, OpenKinect, videoInput, and ARToolKitPlus. The classes found under the com.googlecode.javacv.cpp package namespace expose their complete APIs. Moreover, utility classes make their functionality easier to use on the Java platform, including Android.
Kenton McHenry suggested as "a popular and power development environment for a variety of languages including Java. With its plugin architecture new functionality can be incorporated into the environment."
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