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Pairs of feature sets and labels are fed into the machine learning algorithm to generate a model. ... The training set is used to train a new "naive Bayes" classifier. ..... for document classification, whose features indicate whether or not individual ..... corpus): ... return [tagger.tag(nltk.tag.untag(sent)) for sent in corpus] >>> gold...

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Machine Learning With R: Building Text Classifiers | Springboard Blog

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(PDF) Building a machine learning classifier for iron ore ...

Building a machine learning classifier for iron ore prospectivity in the Yilgarn Craton ... tests and trains a classifier using six geophysical datasets in conjunction with 37 iron ore ..... been restricted to gold exploration in the Yilgarn Craton where.

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Building a machine learning classifier for iron ore ... - EarthByte

Building a machine learning classifier for iron ore prospectivity in the. Yilgarn Craton ... methodology that tests and trains a classifier using six geophysical ... been restricted to gold exploration in the Yilgarn Craton where features such as...

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Pairs of feature sets and labels are fed into the machine learning algorithm to generate a model. ... The training set is used to train a new "naive Bayes" classifier. ..... for document classification, whose features indicate whether or not individual ..... corpus): ... return [tagger.tag(nltk.tag.untag(sent)) for sent in corpus] >>> gold...

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Machine Learning With R: Building Text Classifiers | Springboard Blog

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Topic Analysis: a comprehensive guide to detecting topics from text

Since automated classification either by rules or machine learning always involves a .... For each one of these sets, you train a classifier with all the data that's not in this set (75% of the data) and use this set as the gold standard to test.

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Build an Image Classification Model in just 10 Minutes!

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Machine Learning for Text Classification Using SpaCy in Python

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