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Innovative text document search. http://dynaq.opendfki.de for details.
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
A machine learning system for supervised documentclassification
An open source system for supervised documentclassification based on statistical machine learning techniques.
On the contrary of the state of art classification techniques, MyNook just requires the title of the document, not the content itself.
T-Rex (Trainable Relation Extraction) is a highly configurable machine learning-based Information Extraction from Text framework, which includes tools for documentclassification, entity extraction and relation extraction.
Qualiweb aims at providing semantic web metrics for modeling a website visitors needs according to a given taxonomy or documentclassification. Web metrics provided by Qualiweb give an indication of how successful each of the website topics have been.
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.
A set of classes for Natural Language Processing in PHP for:
1. Part of speech Tagging - Brill, n-gram, HMM
2. Princeton Wordnet querying and access
3. Document summarization
4. Documentclassification - EM, Bayes
5. Stemming - Porter, Lancaster