Using Natural Language Processing To Find Unrecognised Mineral Deposits within Legacy Mining Reports
Join us online for our August webinar "Using natural language processing To find unrecognised mineral deposits within legacy mining reports" presented by Russell Menezes.
About this event
80% of data in the resources industry is unstructured, that is, they exist in the form of PDFs, images and text files (including scanned and handwritten). Extracting information from this is time consuming and expensive. Hence, this data always goes unused. This data is however extremely valuable, as it contains information collected over the last 150 years, and contains the expertise of thousands of subject matter experts who have contributed to these reports.
Going through these reports and being able to analyse and extract information efficiently and accurately plays an important role in the mining value chain. In this webinar, we will take the WAMEX mining exploration reports database, which contains approximately 18 million pages, and show you how we leverage the power of AI, automation and natural language processing to not only search for keywords, but also ideas, geological analogues, images, historic assays and such within seconds.
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