Search Results for "document analysis"

The goal of DynaQ is to develop an inquiry system to explore the personal information space, supporting you with the searching paradigm 'orienteering'. DynaQ is a (desktop)search engine with enhanced functionality for file, email and blog search. Look at our GitLab homepage for sourcecode and documentation: http://dynaq.opendfki.de

The Java package jLDADMM is released to provide alternative choices for topic modeling on normal or short texts. It provides implementations of the Latent Dirichlet Allocation topic model and the one-topic-per-document Dirichlet Multinomial Mixture model (i.e. mixture of unigrams), using collapsed Gibbs sampling. In addition, jLDADMM supplies a document clustering evaluation to compare topic models. See the usage of jLDADMM in its website at http://jldadmm.sourceforge.net/

Web pages do not offer reliable metadata concerning their creation date and time. However, getting the document creation time is a necessary step for allowing to apply temporal normalization systems to web pages. DCTFinder is a system that parses a web page and extracts from its content the title and the creation date of this web page. DCTFinder combines heuristic title detection, supervised learning with Conditional Random Fields (CRFs) for document date extraction, and rule-based creation...

SCAN (Smart Content Aggregation and Navigation) is a universal semantic content aggregator. It combines search, text analysis, tagging and metadata functions to provide new user experience of desktop navigation and document management.

----------------- - 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...

Analyzes text document using TF-IDF and optionally stopword list, and extracts important keywords.

...In a way, this is similar to clustering but not really a clustering algorithm since there is some training involved. 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.

GUI utility in pure Java for viewing and editing XML content; example of application built with Superficial http://superficial.sourceforge.net

ILEDocs is a documentation tool which helps the software developers to document their programs in a convenient way similar to javadoc.

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.

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.

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).

T-Rex (Trainable Relation Extraction) is a highly configurable machine learning-based Information Extraction from Text framework, which includes tools for document classification, entity extraction and relation extraction.

iDocs is a intellectual document work flow with text mining options project.

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.

Qualiweb aims at providing semantic web metrics for modeling a website visitors needs according to a given taxonomy or document classification. Web metrics provided by Qualiweb give an indication of how successful each of the website topics have been.

vyasa is a digital library application that incorporates the functions of digital asset and document management systems. It facilitates information retrieval and knowledge discovery by providing comprehensive metadata generation and semantic analysis.

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.