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This project is a compilation of tools/libraries to help with tasks related to Text Analytics mainly in Java. These tools range from simple wrappers to sophisticated mining tasks that can improve the productivity of researchers and engineers.
Blogspread is an open platform for the developmend of applications that analyze data from websites like blogs and forums. Blogspread is jointly developed by the University of Mannheim, Germany, the UFPE, Recife, Brasil and the UFAL, Maceio, Brasil.
The Minervan project aims at aiding intelligent software development. It integrates reporting, analysis and data mining to support better decision making.
JUNG provides a common and extendible language for the modeling, analysis, and visualization of data that can be represented as a graph or network.
New version now available on GitHub: https://github.com/jrtom/jung/releases/tag/jung-2.1
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Maui is a multi-purpose automatic topic indexing algorithm. Given a document, Maui automatically identifies its topics. Depending on the task topics are tags, keywords, keyphrases, vocabulary terms, descriptors or Wikipedia titles.
OpenDMAP (Open Source Direct Memory Access Parser) is a natural language processing (text mining) application: a semantic parser for information extraction.
SLEDRIDE: Simplified Learning about Expression Data Running in a Desktop Environment. To provide a general workbench for pipe-lining microarray gene expression data from supervised learning results into unsupervised learning methods.
QSAR is a project that aims to build a GUI that enables people to build quantitative structure activity (or property) relationship models. It will use parts of CDK (cdk.sf.net), JOELib (joelib.sf.net), R (www.r-project.org) and other projects.
* Java classes for parsing text, conversion to XML or to evaluate in Java. The parser is textual-script-controlled with a syntax near Backus Naur Format, named ZBNF. * Some routines for conversion: C-Header or Java to XMI, XML-Documentation generation,
The aim of the project is the creation of an multiuser, webenabled, datahandling, processing and visualisation tool for engineering data from the real word - with Datacollection, Charting, Mapping, Alerting, Messaging and Reporting capabilities .....
Open extensible system analysis report tool for Java, based on numerous open source analysis initiatives. The XML/XSL batch-processing framework produces integrated HTML/SVG reports of the systems current state and the development over time.
Projeny (Probablistic Networks Generator in Java) is a graphical (Java SWT) front-end to BNT (Bayes Net Toolbox for Matlab). Projeny requires BNT, JMatLink and a Matlab back-end. There is no installable release package, but source code is available on SVN - please check out from SVN to use Projeny. Projeny was started with BNJ as the base.
A very simple Equity Investment Stragety Analyser tool.
What it does :
- Maintain Stock portfolios
- Simulate Investment using NSE Historical bhav data files
- Analyze different investment strategies against index performance
- Graph the results
JMulTi is an interactive software designed for univariate and multivariate time series analysis. It has a Java graphical user interface that uses an external engine for statistical computations. It uses the framework JStatCom.
VideoGrok is a set of applications for relating metadata to segments of video, and then locating and analysing these, with interfaces to technologies including SMIL, RSS and RDF. Currently based on Quicktime for Java. This restriction will be removed.
National University Community Research Institute's NU KEEPERRHHATT Algorithmic Framework is a series of meta-algorithms based upon the Longest Hamiltonian Path Problem for finding high level explanations to social, economic and political behaviour.
AlViz is a research prototype for visual ontology alignment implemented as multiple-view plug-in for Protege using J-Trees and Graphs. Based on similarity measures of an ontology matching algorithm AlViz helps to assess and optimize the alignment results
This proyect presents a system, which, from a corpus of documents, extracts information about a theme area, and a pedagogical components collection. This information is packed into fine granularity learning objects (metadata included).
This research project seeks to use compiler techniques to perform an attribute-based data-flow analysis on (MOF/UML)models allowing for a syntax-driven validation of a model's static semantics as well as an abstract interpretation of i dynamic behavior.