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<scheme description="A corpus is still only a collection of words, which computer doesn't understand yet. We need to transform text into numbers and a  simple way to do it is to count words in a text. This approach is called bag  of words. Observe the results of bag of words vectorization in a Data Table." title="Bag of Words" version="2.0">
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		<text font-family="Helvetica" font-size="16" id="1" rect="(24.0, 277.0, 150.0, 44.0)" type="text/plain">Load 'grimm-tales-selected.tab'.</text>
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		<text font-family="Helvetica" font-size="16" id="3" rect="(195.0, 296.0, 97.0, 47.0)" type="text/plain">Preprocess the data.</text>
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		<text font-family="Helvetica" font-size="16" id="5" rect="(308.0, 325.0, 199.0, 146.0)" type="text/plain">Bag of Words contructs a table of word counts and it is a crucial step for further analysis. BoW is needed for predictive modelling, unsupervised learning and many other methods.</text>
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		<text font-family="Helvetica" font-size="16" id="7" rect="(588.0, 246.0, 150.0, 60.0)" type="text/plain">Inspect the output of Bag of Words in a Data Table.</text>
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