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QMiner is a data analytics platform for processing of large-scale real-time streams containing structured and unstructured data. It implements a comprehensive set of techniques for supervised, unsupervised and active learning on streams, which can be connected to imported data streams.
Please check QMiner homepage for more details!
OntoGen is a tool for interactive topic ontology construction. It gets a collection of text documents on the input and uses it to help the user construct a topic ontology. The user can created topics, organize the topics into topic ontology and assign the documents into topics. It uses machine learning techniques to help user at discovering, creating and naming topics.
Document Atlas is utility for visualizing large corpora of text documents. The whole corpus is projected onto a 2D plane using a combination of latent semantic indexing and multidimensional scaling. The user can explore the 2D plane using an intuitive interface. The density of documents is used for generating the background relief in order to make the visualization of documents similar to a map. Keywords describing specific areas are also written on the map. All these features together provide the user with an easier path towards understanding the corpus.