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1-10 of Juan Manuel Caicedo's Bookmarks with the Tag Bundle semweb

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.

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This is a python wrapper for crfsuite, a fast implementation of Conditional Random Fields

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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.

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This course seeks to cover statistical modeling techniques for discrete, structured data such as text. It brings together content previously covered in Language and Statistics 2and Information Extraction, and aims to define a canonical set of models and techniques applicable to problems in natural language processing, information extraction, and other application areas. U

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A short list of video lectures of computer science courses taught at Stanford, including Machine Learning, Analysis of Algorithms and Discrete Probability.

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Tracking who's hot and who's not presents an algorithmic challenge.

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A PNG version of the Machine Learning cheat sheet bookmarked previously.

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A set of tutorials on many aspects of statistical data mining, including the foundations of probability, the foundations of statistical data analysis, and most of the classic machine learning and data mining algorithms.

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Pattern bundles tools for data retrieval (Google + Twitter + Wikipedia API, web spider, HTML DOM parser), text analysis (rule-based shallow parser, WordNet interface, syntactical + semantical n-gram search algorithm, tf-idf + cosine similarity + LSA metrics) and data visualization (graph networks).

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