Will be presenting some of my research on detecting “geological sentiment” in text, at the Janet Watson Geological Society of London meeting on 27th Feb.
This will include showing how the Geological-sentiment AnalyZER (GAZER) algorithm I developed in Python, compares to the sentiment API classifiers from Google Cloud, IBM Watson, Microsoft Azure, Amazon Comprehend and Lexalytics Semantria.
The test set used to compare accuracy, is over 1,000 sentences relating to petroleum systems labelled by retired geologists as either ‘positive’, ‘negative’ or ‘neutral’.
Some interesting findings!
A Geodyssey - Enterprise Search & Discovery and Text Mining Research 
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