Search Results for "java text mining preprocessing" - Page 2

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. ...

Java API and tools for performing a wide range of AI tasks such as: word sense disambiguation (released), optimization (5 Evolutionary Algorithms Implemented ETA February 2014), opinion mining (ETA November 2014) and text wikification (ETA July 2014). Gannu includes some graphical interfaces for scientific purposes. When using Gannu please cite: *Jiménez, F.

Arabic Computational Linguistics resources and Tools, Arabic Text Mining Tools, Arabic Language tools, Arabic Morphological Analysis (Stemming / Light Stemming), Arabic text preprocessing, Arabic Corpora, Open Source Arabic Corpora OSAC, Comparable Corpora. For more information: http://sites.google.com/site/motazsite

The FAKE GAME tool uses natural evolution to evolve Data Mining models. It incorporates several preprocessing, optimization and visualization methods aimed to streamline the Knowledge Discovery process. Knowledge Extraction from data is being automated!

Cross-platform data acquisition and visualization software with an embedded HTTP-server, binary protocol parsing library, protocol emulation server, remote secure administration server, embedded Groovy scripting facilities and HMI (SCADA) visualization module.

...Once created the folder with text, run ticket cluster, select folder and click process. After processing is done you can watch results in dendogram or tree. Text mining, text clustering using LINGO

The Deep Email Miner Application is a software solution for the multistaged analysis of an Email Corpus. Social network analysis and text mining techniques are connected to enable an in depth view into the underlying information. The self-executable Version 1.1 jar file will now run on Java 1.5 or higher. A Windows executable file of Version 1.1 is also provided in the Files section. Documentation can be found on the project homepage.

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.

A set of components for doing text mining in Java. The target audience are other text mining developers who can use or extend these components.

This library offers an API to useful tools that can be utilized for any text mining project. More details will be mentioned in the project's future documentation

DM LiWeCool is a tool for preprocessing light-weight CSV data files as Weka-compatible. It includes merging different header lines into one, editing values (encoding, categorizing, etc) and saving data as ARFF or XRFF (Weka native). It is Java-based.

Contextor is a light-weight simple-to-use Java based library to help developers and researchers working with the general concept of a resource; as examples, resources can be text resources, web resources, images and videos.

Wikipedia Concept Association Map (WCAM) is new approach for textual knowledge representation and understanding. All concepts and associations are stored in a graph database for better performance and easy distribution.

PubCurator is a biomedical text mining platform and validation helper built on top of Eclipse RCP.

A tool to aid in the execution of Systematic Mapping Studies.

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.

This project is a compilation of tools/libraries to help with tasks related to Text Analytics mainly in Java. These tools range from simple wrappers to sophisticated mining tasks that can improve the productivity of researchers and engineers.

OpenDMAP (Open Source Direct Memory Access Parser) is a natural language processing (text mining) application: a semantic parser for information extraction.

This is a MultiLingual Text Processing (MLTP) project, mainly used for data preparation of text mining. It supports the language types of Chinese, Japanese, Korea and English.

The Fiber project seeks to create a modular open source text mining 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 Text Mining workbench that integrates current Biomedical Text Mining (BioTM) methods and provides biologists with intuitive tools capable of supporting their bibliographic searches and further literature curation.

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

hypKNOWsys aims at developing a Java-based workbench for knowledge discovery and knowledge management. Currently, hypKNOWsys has released two intermediate tools: DIAsDEM Workbench (text mining for semantic tagging) and WUMprep (Web mining pre-processing)

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).

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, text mining.