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OpenDMAP (Open Source Direct Memory Access Parser) is a natural language processing (textmining) application: a semantic parser for information extraction.
This is a MultiLingual Text Processing (MLTP) project, mainly used for data preparation of textmining. It supports the language types of Chinese, Japanese, Korea and English.
The Fiber project seeks to create a modular open source textmining tool that provides a contextual foundation for analysis in the dissemination of large quantities of text data.
@Note2 is now available in www.anote-project.org
@Note is a Biomedical TextMining workbench that integrates current Biomedical TextMining (BioTM) methods and provides biologists with intuitive tools capable of supporting their bibliographic searches and further literature curation.
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hypKNOWsys aims at developing a Java-based workbench for knowledge discovery and knowledge management. Currently, hypKNOWsys has released two intermediate tools: DIAsDEM Workbench (textmining for semantic tagging) and WUMprep (Web mining pre-processing)
This project intends to create an indexing search engine, for knowledge management. The primary object is to apply an information retrieval core. And implement a knowledge data discovery theory such as data mining algorithm, textmining.
JDMF is a data mining framework written in Java. Main features include: simplicity, flexibility, many algorithms to choose from, many formats of input (e.g. XML, CSV, JDBC, Java beans) and output data (e.g. XML, plain text info, charts).
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The aim of TextToOnto is to support developers in the ontology construction process by
applying textmining techniques. For this purpose it builds on KAON
(http://kaon.semanticweb.org)
txtkit is a visual textmining tool for exploring large amounts of multilingual texts. It's an multiuser-application which mainly focuses on the process of reading and reasoning as series of decisions and events.
webExtractor is a Java application that is used for extracting specific content from web based HTML, XML, CSV, and free form text. The extracted data can be used for data gathering and mining purposes.
MiningFlow is an environment created for textmining experiments. It helps a textmining analyst to compose several web services in order to create an full experiment. The environment uses semantic aproach to support the design task.
GraphSpider is a pattern matcher which searches parsed text in phrase-structure tree or dependency graph format for syntactic structures matching a set of patterns in MPL, a regexp-like pattern language. Applications: information extraction, textmining.
reputron is a knowledge extraction engine platform that covers all aspect of textmining, relevance, indexing and querying on a corpus of text documents.