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Mavuno is an open source, modular, scalable text mining toolkit built upon Hadoop. It supports basic natural language processing tasks (e.g., part of speech tagging, chunking, parsing, named entity recognition), is capable of large-scale distributional similarity computations (e.g., synonym, paraphrase, and lexical variant mining), and has information extraction capabilities (e.g., instance and semantic relation mining). It can easily be adapted to new input formats and text mining tasks.
This link recently saved by cavorito on December 13, 2011
VisualSearch.js enhances ordinary search boxes with the ability to autocomplete faceted search queries. Specify the facets for completion, along with the completable values for any facet. You can retrieve the search query as a structured object, so you don't have to parse the query string yourself.
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ReVerb is a program that automatically identifies and extracts binary relationships from English sentences. ReVerb is designed for Web-scale information extraction, where the target relations cannot be specified in advance and speed is important.
The source code is available for download and it's released under the GPLv3 license.
This link recently saved by cavorito on October 07, 2011
pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python.