Text mining for Geo-resources

Discover new insights in geoscience documents, using patterns in unstructured text to detect petroleum, mineral, hydro, geothermal and hydrogen exploration opportunities. First-of-a-kind OpportunityFinderⓇ and GeoClassifierⓇ algorithms are now integrated. Teaching machines about geoscience.  Apply to deep archives, documents on your shared drive, or in Microsoft Sharepoint or Document Management Systems. Apply to external geoscience subscription reports and... Continue Reading →

MSc Lecture Business Analytics

Enjoyed giving the lecture on search & text analytics to over 40 MSc Business Analytics students at RGU today. Great questions and a knowledgeable and enthusiastic audience. Thanks to Dr Ebuka Ibeke for a warm welcome as usual! More on the MSc course here: https://www.rgu.ac.uk/study/courses/1177-pgcert-pgdip-msc-business-analytics

Text Mining: OpportunityFinder® algorithm extends into Porphyry Copper

The OpportunityFinder Python based Natural Language Processing (NLP) algorithm has been extended to detect clues for porphyry copper in text. Launched in early 2020 and used by organisations for petroleum and native hydrogen exploration, the algorithm uses hundreds of thousands of lexicons, taxonomies and labelled data for machine learning models. The novel Patented method combines... Continue Reading →

GeoClassifier® machine learning prediction: now trained with quarter of a million labelled geoscience sentences.

GeoClassifier® can automatically classify sentences, paragraphs and documents to geoscience categories and detect well/borehole names in text. GeoClassifier® uses over 250,000 labelled public geoscience sentences to train deep learning models to achieve this. When an organisation licenses the algorithm they also receive the actual training data, so can build and train their own ML models... Continue Reading →

Underlying assumptions for enterprise search & discovery

When deploying a search engine in an organisation, it can be useful to think deeply about the underlying assumptions being made. These can help inform strategies. Arguably, some organisations may deploy reductionist technology focused strategies without perhaps thinking about all the assumptions they are making. CLEVERLEY, P.H. and BURNETT, S. 2019. Enterprise search and discovery... Continue Reading →

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