Discover Geoscience Knowledge not Documents.

Find and discover geoscience knowledge not documents. An example of how organisations are exploiting the output from OpportunityFinder(R), generated by applying the algorithm to their unstructured text such as PDF, PPT, Word, Excel, XML/JSON, image files etc. on file shares and document management systems   This company has used Microsoft PowerBI over the top of... Continue Reading →

Merry Christmas!

A very Merry Christmas to all our clients, followers and supporters, very much appreciated! Great to see growing interest in geoscience text analytics. The graph below shows visitors to the Infoscience Technologies website since the technology start-up was founded in 2018.

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 →

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 →

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