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Automatic Geosciences Documents Classification, An Useful Tool for Data-RoomNormal access

Authors: J. Massot, F. GAS and J. BOYER
Event name: 81st EAGE Conference and Exhibition 2019
Session: Deep Learning and Data Analytics - Seismic Applications I & Methods and Applications II
Publication date: 03 June 2019
DOI: 10.3997/2214-4609.201901621
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 548.11Kb )
Price: € 20

Summary:
This abstract shares latest comparative results about automatic Geosciences documents classifiers based on Machine Learning and Deep Learning algorithms. On the document corpus used for this test, the performance of the Logistic Regression model is good enough to be useful in the context of a digital Data-Room for example.


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