Search Results for "text extraction" - Page 2
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Showing 58 open source projects for "text extraction"
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ePUBator
Minimal offline PDF to ePUB converter for Android
Minimal offline PDF to ePUB converter for Android - ©2011 Ezio Querini ePUBator extract text from a PDF file and put it in a well formed (epubcheck compliant) ePUB file. PDF extraction based on iText library <http://itextpdf.com/> released under the AGPL license. - ePUBator IS THINKED FOR BOOKS (NOT FOR EVERY TYPE OF PDF), BUT IF YOU NEED A BETTER RESULT TRY SOMETHING ELSE LIKE CALIBRE. - ePUBator doesn't need internet connection (doesn't send your docs somewhere on the net, doesn't have ads)... -
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OpenSearchServer Extractor
A RESTFul/JSON Web Service for text and metata extraction
An open source RESTFul Web Service for text , meta-data extraction and analysis. oss-text-extractor supports various binary formats: Word processor (doc, docx, odt, rtf) Spreadsheet (xls, xlsx, ods) Presentation (ppt, pptx, odp) Publishing (pdf, pub) Web (rss, html/xhtml) Medias (audio, images) Others (vsd, text) -
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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. Commonly used techniques in this project are Natural Language... -
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Detexter
Detexter is an app designed to extract text from PDF files.
Detexter lets you extract text from multiple PDF files. Detexter uses the PDFBox library for its text extraction. -
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TextProcessor
A Java package to preprocess text datasets for posterior text analysis
The TextProcessor Java package is a text processing toolkit, which provides some frequently used text processing functions such as stemming, removing stop-words, generating a term vocabulary, and calculating the term-doc frequency matrix. Basic topic mining models such as LDA and sparse NMF are also supported. The package can also generate feature files from a given text dataset with LDA and LIBSVM format for posterior procedures such as classification or clustering. The toolkit is also... -
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TML - Text Mining Library for LSA & CMM
TML is a Java Library for LSA and extracting Concept Maps from text
TML has moved to http://www.villalon.cl/tml.html and the code to https://github.com/villalon/tml -
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Anteater
Annotation Tool to Extract Endangered Animals from Text Resources
The goal of this project is the extraction the information listed below from texts downloaded from the Federal Register (https://www.federalregister.gov). The texts are mainly applications for permits, notices about given permits, etc. This software tool is developed by the Max Planck Institute for the History of Science (http://www.mpiwg-berlin.mpg.de) in collaboration with Dirk Wintergrün and Etienne Benson. -
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The Information Extraction Plugin allows the use of information extraction techniques within RapidMiner. It can be seen as an interface between natural language and IE- or datamining-methods, by extracting interesting information out of documents.
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G-Asks is a question generation system, developed by LATTE(Learning and Affect Technologies Engineering) research group at The University of Sydney. It uses Natural Language Processing techniques and Machine learning algorithms to generate specific trigger questions. If you use this software in a publication, please cite the paper 2. 1.Ming Liu and Rafael A. Calvo (2012) “Using Information Extraction to Generate Trigger Question for Academic Writing Support”, 11th International Conference...
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Large Text File converter
Java Based Heavy-duty utilitity to process large delimited text files
...Another strength of this tool is in its configurability, it's design allows to generate as many output files as required from one input file, and at every row of input file validation, extraction, conversion can be applied. Use case Example: legacy system is to be replaced with new advanced system with different DB schema, and the data provided as 100GB size of delimited text data which is to be inserted in 10 different tables of new system DB after validation,date format conversion, rearrangements, and MD5 hashing implementation. -
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SeerSuite is an application toolkit for digital libraries and search engines; i.e., CiteSeerX. CiteSeerX has moved to GitHub, please get the latest code from: https://github.com/SeerLabs/CiteSeerX
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AADRTE
Automatic Arabic Domain-Relevant Term Extraction
In this research we propose a model for automatic domain-relevant term extraction from Arabic text corpus. The proposed model uses a hybrid approach composed of linguistic and statistical methods to extract terms relevant to specific domains depending on prevalence and tendency term ranking mechanism. This increases precision and recall as a measures of relevancy of extracted terms to a specific domain. -
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DBpedia Spotlight is a tool for annotating mentions of DBpedia resources in natural language text. The source code is now hosted on GitHub: https://github.com/dbpedia-spotlight
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Ticket Cluster
Java aplication who groups related text documents, text mining
Ticket Cluster is a java aplication who groups related text documents(text is extracted from a helpdesk) into clusters, providing an overview of the document set. This is done without preconceptions about keywords — this Java software analyzes the text and identifies the structure that arises naturally. The extraction phase depends of the data of the helpdesk, in the current implementation there is a php script who extracts all text from numered tickets (Facil HelpDesk ) to a folder. ... -
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This is a Java-based project for complex event extraction from text and co-reference resolution. Currently the code can read BioNLP shared task format (http://2011.bionlp-st.org/) and i2b2 Natural Language Processing for Clinical Data shared task format (https://www.i2b2.org/NLP/DataSets/Main.php). Event extraction includes finding events and the parameters for an event in a text.
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This project aims to implement in java the following text mining techniques: Text Language Detection, Keywords and keyphrases extraction, Text Classification, Text Clustering, Single or multiple documents Summarization, Plagiarism Detection.
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Framework for making Windows applications that are one .exe file in AutoHotKey_L,C++,C#, VB.NET,Java,Groovy,Common Lisp,Nemerle,Ruby,Python,PHP,Lua,Tcl,Perl,Jint,S#,WSH VBScript,HTML/JavaScript/CSS,COM, PowerShell without compiling . For .NET 4.
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TextMarker is now developed and hosted at Apache UIMA (http://uima.apache.org/textmarker.html). TextMarker is a UIMA-based tool for information extraction and more. The full featured editor of the rule language and the build process of UIMA descriptors are complemented with components for visualization, explanation, testing and rule learning.
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SEMANTIXS is a semantic information extraction system that can extract, represent and visualize domain-specific information from free-text in the form of complex (and simple) relationships. Refer - http://www.cs.iastate.edu/~semantix/ for more info.
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An information extraction library implementing modern algorithms for the extraction of named entities from text.
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FX Player is a Web-based streaming server with a Flash iTunes-like interface. It shares your MP3 library and allow access to your tracks through the Internet. Coded in Java, FX Player run on most platforms, including Mac OS X, Windows, Linux and Unix.
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Provides a set of tools for processing text, such as text extraction and classification. Classification implementations to be implemented include: Bayesian and Statistical (N-gram).
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Moara is a biological text mining tool and consists of a Java library and some auxiliary MySQL databases for gene/protein training and extraction of mentions and its further normalization and disambiguation.
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OpenDMAP (Open Source Direct Memory Access Parser) is a natural language processing (text mining) application: a semantic parser for information extraction.
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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.
