Search Results for "documents"

TXM is a free and open-source cross-platform Unicode & XML based text analysis environment and graphical client, supporting Windows, Linux and Mac OS X. It can also be used online as a J2EE standard compliant web portal (GWT based) with access control built in. DOWNLOAD LATEST VERSION OF TXM : http://textometrie.ens-lyon.fr/spip.php?rubrique61&lang=en TXM offers a comprehensive range of analysis tools (concordances, collocate search, frequency lists, etc.) based on the powerfull CQP...

A minimalist approach to share text documents and data annotations. Allows a large number of different annotations to be represented. Project files contain: - simple code to hold/read/write data and perform sample processing. - BioC-formatted corpora - BioC tools that work with BioC corpora BioC goals - simplicity - interoperability - broad use - reuse There should be little investment required to learn to use a format or a software module to process that format. ...

OpenIMAJ: The Open toolkit for Intelligent Multimedia Analysis in Java. OpenIMAJ contains a large collection of pure-Java classes for analysing multimedia documents, from tools for extracting image features, to tools for analysing web pages.

----------------- - What is it? - ----------------- The "Falcon Search" is a JAVA API and tool to search inside the documents. It was originally started to search the content in pdf files under the project "HAWK Search". Searching with this tool is query-based not word-based as in most of the document search tools OR document readers. It also takes care of jumbling of words within query and spelling mistakes. Commonly used techniques in this project are Natural Language Processing, Information Extraction and Question-Answering Architecture. ---------------------- - Latest Version - ---------------------- Details of latest version can be found on project website - http://geekdadaji.com --------------------------- - CONTACT DETAILS - --------------------------- CREATOR : SWAPNIL A JADHAV (saj1919) EMAIL ID : dadajibudhau@gmail.com WEBSITE : http://geekdadaji.com LICENSE : CC BY-NC 4.0

...The summarizer from Classifier4J has been adjusted to accept two inputs (lets call them A and B). Then, the summarizer gets trained with A to summarize a document B, and vice versa. This extracts a relevant structure for both documents (and thus avoids the over-training) which are then compared using the Vector-Space analysis to give a range of belonging of one document to another (and thus avoids the shortage of information). This method can be used to create the user-defined classes by merging texts of certain categories and then to calculate the relevant distances between the documents, but this is not necessary.

This is a GUI for learning non disjoint groups of documents based on Weka machine learning framework. It offers the possibility to make non disjoint clustering of documents using both vectorial and sequential representation (word sequence approach based on WSK kernel). All data format supported by WEKA could be used in DocCO. Data could be loaded from files, from databases or from specified URL.

OpenSHORE is an XML based Semantic Document Repository (SDR) with a free definable meta model that builds up a semantic network from sections and relations in documents. The acronym SHORE means Semantic Hypertext Object Repository.

Ontea - Pattern based Semantic Annotation Platform. Ontea search or create semantic meta data from text or documents using pattern based approaches. Implementation currently includes regular expressions (regex) patterns

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).

iScore measures the interestingness of news articles in a limited user environment. It is an online learning algorithm that combines a large set of disparate features to classify documents. To download the source code, please use subversion.

RDF-DocMan is a document manager based on a Sesame (RDF repository) backend. Documents are stored in the filesystem and their metadata in a Sesame repository. It was developed for porQual web content generator (also in sf.net).

Baldr, aka Balder, is a plagiarism prevention software. Inspired by late researches in computer sciences, it’s able to compare documents using only properties linked to data compression.

OntoExtractor is a way of building ontologies that proceeds in a bottom-up fashion, defining concepts as clusters of concrete XML objects. From a set of XML documents the application generates a taxonomy. OntoExtractor has been developed so far by the Kn

The aim of MIEX (Metadata and Information Extractor from small XML documents) is to create a wrapper for the Stanford Parser, to extract and store metadata (syntactic structures, relationships among words...) from simple XML documents.

JWebPro: A Java tool that can interact with Google search and then process the returned Web documents in a couple of ways. The outputs can serve as inputs for NLP, IR, infor extraction, Web mining, online social network extraction/analysis applications.

MultiJADS is a domain independent multiagent active design documents shell. It uses multiagent technology to support activities in concurrent and distributed design systems and is based on the Active Design Documents (ADD) approach.

The Word Vector Tool is a simple but flexible Java library to create word vector representations of text documents. Word vectors can be used for various text processing tasks, as text classification, text clustering or information retrieval.

Flesh is a Java application designed to analyze a document (plain text, rich text, Word documents, and PDFs) and display the difficulty associated with comprehending using the Flesch-Kincaid Grade Level and the Flesch Reading Ease Score.

Evidence-based Guideline and Decision Support System. Provides patient specific point of care reminders in order to aid physicians provide high quality care. Input/output in the form of HL7 CDA Level 2 documents. Knowledge is encoded using Arden Syntax.

Phoenix is an information extraction engine written in java. Controlled by rules (declared in xml), it extracts information form any XML document (unstructured XHTML/OpenOffice documents). Supports XPath, additional conditions and top-down decomposit

JUDGE (Java Utility for Document Genre Eduction) features automatic classification and clustering of documents, optionally as a webservice. The program is written entirely in Java and makes use of the Weka machine learning toolkit.

An Expert Search System for Enterprise Search based on the Information Retrieval Vector Space Model. Our model builds a weighted profile for each candidate and keeps all the documents, thus allowing to retrieve both people and documents together.