Example showing autoclassification output from GeoClassifier® from a selection of public domain geoscience documents. The proportion of topics are clustered in a Pearson dendrogram heatmap. Those above the mean are in red, below the mean in dark blue relative to the corpus/collection. Easy to see clusters of documents predominantly about certain topics and to spot... Continue Reading →

A new class has been added to the text GEOCLASSIFIER  Algorithm It can now predict sentences, paragraphs, pages or documents related to Palaeogeography and automatically tag them. _____________________________________________ Image Credit: Map of the Late Cretaceous https://creativecommons.org/licenses/by-sa/3.0/deed.en https://commons.m.wikimedia.org/wiki/File:LateCretaceousMap.jpg

To welcome in 2021 https://infosciencetechnologies.com/ is gifting GEOCLASSIFIER® – a geological machine learnt text classifier to not-for-profit organisations. This assists information searching, filtering and discovery of geoscience topics in text. Even documents predominantly about one topic, often reference other geoscience topics buried within their pages. Automatically surfacing these topics could lead to insights that may... Continue Reading →

Interviewed today by PhD candidate Suraj Ibrahim researching the information behaviour of digital entrepreneurs during ideation. Specifically, the motivations regarding information seeking, how it is being done and other related cognitive, emotive and affective behaviours. Ideation, in this context, pertains to the creation of start-ups or enhancing of an existing business. The goal of the... Continue Reading →

Enjoyed presenting today a case study on the impact of COVID-19 on search in an organisation at the British Computer Society Search Solutions event. Over 2.5 million search queries were analysed prior, during and after initial lockdowns in March this year. A big thankyou to my co-authors Fionnuala Cousins and Simon Burnett and to the... Continue Reading →

The OpportunityFinder® algorithm now contains over 40,000 terms & phrases engineered specifically to be used to automatically extract geoscience knowledge in text for exploration. https://infosciencetechnologies.com/2020/11/21/oil-gas-taxonomy-grows-to-40000-terms-phrases-in-opportunityfinder/

https://infosciencetechnologies.com/2020/11/18/automatically-read-massive-volumes-of-text-like-a-geoscientist/

Lyme Regis on the 'Jurassic' South Coast of England is well known for its Ammonite graveyards, Ichthyosaurs and dark organic rich mud facies which is an oil source rock. The top of the cliffs contain Cretaceous beds and where land slips have brought these down to the beach occasionally you can find Echinoids (sea urchins)... Continue Reading →

When I look back to 1984 when I received my 32k home computer, at the time I didn't think I was at the dawn of personal computing and an explosion of creativity. The more I delve into the 175Billion parameter (in AI size matters) Transformer GPT-3 Language Model built from vast swathes of the Internet,... Continue Reading →

Using over 700 public oil & gas license relinquishment reports from over 30 companies (2008-2017) in the UKCS, I built a language model of similarity between terms after careful semantic processing. The chart above shows vector cosine similarity between various play elements and the 'risk' word vector on the x -axis, and 'failure' (proxy 'actual'... Continue Reading →