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BCL’s Financial Text Extraction System (FTES) converts Financial Text to Big Financial Data by applying natural language processing (NLP) and machine learning (ML). BCL’s FTES converts any financial text to Big Financial Data in the form of triples [Financial Item, Financial Value, Date]. This high accuracy conversion can generate output in multiple formats including Spreadsheets, XML and SQL. Take this sentence for example: “In February 2012, the Company purchased the property associated with its former corporate headquarters in Redwood City, California for approximately $148.6 million in cash” BCL’s FTES will instantaneously transform this sentence to [“Property Purchase”, $148.6 million, February 2012]. This allows computer software to easily access Big Financial Data locked in such Financial Text.