Semantic Discovery utilizes a practical blend of proven, cutting edge, and newly evolving technologies. With soundly engineered and rigorously tested core software tools and a dynamic parallel distributed computing environment, we have the capacity to execute large-scale jobs tailored to meet each customer's needs while providing a sandbox for our scientists, engineers, and domain experts to interactively develop innovative solutions to emerging problems.

Our core technologies include scalable implementations of Artifical Intelligence algorithms in the primary areas of Machine Learning and Natural Language Processing. Our technological components are packaged in pluggable knowledge-driven expert systems using a unique blend of statistical, symbolic, and human domain expert knowledge for dynamic evolution of existing knowledge domains and the ability to quickly incorporate inferencing within new knowledge domains. Because our technologies are componentized, we are able to quickly tailor a relevant solution to each problem using the right tools for the job rather than forcing each problem to poorly conform to a single solution.

Applied technologies for solutions to information gathering problems include:

• Author Demographic Classification and Sentiment Analysis
• Intelligent Web Crawling
• Language Classification
• Machine Learning techniques including SVMs, Neural Networks, and Bayesian Networks
• Multilingual Entity Extraction
• Multilingual Information Retrieval
• Natural Language Syntactic and Semantic Parsing and Analysis
• Ontological Knowledge Representation
• Taxonomy Development and Matching
• Topic Classification