Improving Stained Recognition Based on Improved NLP and Pattern Recognition
نویسندگان
چکیده
The on-going information explosion affects in particular the business domain, in relation to corporate strategy and business decisions. This paper describes work, which addresses the problem of information overload in the business domain. We present the architecture of a system, which provides decision support based on information extracted and aggregated from text-based on-line sources, such as news and social-media sites. The system is built upon document filtering, information extraction, and supervised and semisupervised learning.
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