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1087692de2
* Add sklearn example * Fix test_case * Add SenpyClientUse docs a.k.a. The wise men edition
34 lines
631 B
Python
34 lines
631 B
Python
'''
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Create a dummy dataset.
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Messages with a happy emoticon are labelled positive
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Messages with a sad emoticon are labelled negative
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'''
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import random
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dataset = []
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vocabulary = ['hello', 'world', 'senpy', 'cool', 'goodbye', 'random', 'text']
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emojimap = {
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1: [':)', ],
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-1: [':(', ]
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}
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for tag, values in emojimap.items():
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for i in range(1000):
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msg = ''
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for j in range(3):
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msg += random.choice(vocabulary)
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msg += " "
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msg += random.choice(values)
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dataset.append([msg, tag])
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text = []
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labels = []
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for i in dataset:
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text.append(i[0])
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labels.append(i[1])
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