Search Results for "java email extractor"
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7 projects for "java email extractor" with 2 filters applied:
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DynaQ
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 -
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The National Library of New Zealand's Metadata Extraction Tool automatically extracts preservation-related metadata from digital files, then output that metadata in XML formats. It can be used through a graphical user interface or command-line interface. Please take the latest code from 'https://github.com/DIA-NZ/Metadata-Extraction-Tool.git'. The code on source forge will not be updated henceforth as it is moved to github.
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FALCON - Text Search Java Project
JSON based text search Java Project
----------------- - 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. -
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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
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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.
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DEAL (Domain Extraction ALgorithm) is an application for domain analysis. Its main purpose is to extract domain information from existing Java applications and to create different kinds of models from the extracted data, including domain-specific languages.
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