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scikit-learn is a Python module for machine learning built on top of SciPy. It is simple and efficient tools for data mining and data analysis. It supports automatic classification, clustering, model selection, pre processing and lot more.
The Semantic Vectors package uses a Random Projection algorithm, a form of automatic semantic analysis. Other methods supported by the package include Latent Semantic Analysis (LSA) and Reflective Random Indexing. Latent Semantic Analysis (LSA) is a theory and method for extracting and representing the contextual-usage meaning of words by statistical computations applied to a large corpus of text. This library is used in semantic analysis and text mining.
No 1 in Business Analytics: Data Mining, Predictive Analytics, ETL, Reporting, Dashboards in One Tool. 1000+ methods: data mining, business intelligence, ETL, data mining, data analysis + Weka + R, forecasting, visualization, business intelligence
Framework for text mining, data integration and data analysis. Keywords: ontology and graph alignment, relation mining, warehouse, semantic database integration, bioinformatics, systems biology, microarray, Java.
TextMine is for the Perl hacker who is grappling with the problems of managing unstructured text from various sources. You can use these text mining tools to search the Web, index text, extract entities, categorize your e-mail, and summarize documents.
PocketMine-MP is a server software for Minecraft PE (Pocket Edition). It has a Plugin API that enables a developer to extend it and add new features, or change default ones The entire server is done in PHP, and has been tested, profiled and optimized to run smoothly. GitHub Repository: https://github.com/PocketMine/PocketMine-MP