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Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes. Found only on the islands of New Zealand, the Weka is a flightless bird with an inquisitive nature.
It all started with two guys in a garage in 2009. And while Raj and Vishal contemplated on starting the next big garage band, they ended up going a different route and began riding the social media wave. Viralheat initially provided viral video analytics to large brands, but as social media continued to quickly gain popularity, brands began to request more platform coverage and monitoring capabilities. As the product’s capabilities expanded, so did the team. We’ve upgraded to a spacious office in the swanky Silicon Valley and our growing team encompasses Engineering, Marketing, and Sales.
See my related post on Open-Source Search Engine Libraries . Here are some of the open source NLP and machine learning tools for text mining, information extraction, text classification, clustering, approximate string matching, language parsing and tagging, and more. I've tried to roughly group the tools.
List of Demos Each demo page contains instructions and examples of running on the web, as a command and in a GUI. Echo Demo : Simply echoes input to output; transcodes character sets and normalizes HTML.