CHICAGO, Aug. 12, 2014 /PRNewswire-iReach/ -- BrokerSavant, a SaaS provider of data extraction, classification and automation solutions based in Chicago, IL announced significant progress and achievement with artificial intelligence technology. The company's proprietary algorithms, software and workflow are now achieving automated extraction and organization of unstructured data found in multiple-media textual and visual documents at an accuracy level exceeding 90%.
As part of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), BrokerSavant will present its technical research and results in Doha, Qatar, October 25-29 2014. The EMNLP is a prestigious and competitive Natural Language Processing Conference where technical paper acceptance rates are usually only ~20%.
Previously covered in Forbes and other media, the Company's cloud-based software processes textual information "trapped" and unusable in electronic documents (PDF, HTML and other visual media "big data" sources) and returns specified, relevant data and information by using proprietary machine-learning (ML) and natural-language processing (NLP) algorithms to automate data delivery and eliminate manual query and review.
"Our extraction and auto-tagging solutions assemble and organize unstructured and semi-structured data with no manual entry. This automation lowers costs, saves time and increases accuracy, enabling our clients to utilize this data without extensive manual labor and review, " said Clay Rankin, Founder of BrokerSavant.
"We are very excited about the results we have achieved and our ability to help clients increase market share, drive content and analytics growth and create opportunities to monetize their data."
BrokerSavant presently applies its technology to provide software solutions for commercial real estate (CRE) documents and applications like commercial leases (automated lease abstraction), rent rolls and property brochures. The company is presently working on new commercial applications in other B2B verticals including legal e-discovery (predictive coding and technology assisted review/TAR) and publicly filed documents and statements.
Founded in 2009, BrokerSavant is a technology company that utilizes leading-edge Machine Learning and Natural Language Processing methods to create proprietary SaaS/PaaS offerings that automate the extraction, standardization and organization of unstructured "big" data.
BrokerSavant's extraction solutions enable clients to automatically assemble, manage and utilize unstructured and semi-structured data. While lowering costs and saving time, the Company's extraction solutions also help clients accelerate market share, drive content growth and create transformational opportunities to monetize data.
Media Contact: Claiborne Rankin, Jr., BrokerSavant, 773-844-2830, firstname.lastname@example.org
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