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50 lines
1.2 KiB
Python
50 lines
1.2 KiB
Python
#
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# Copyright 2014 Grupo de Sistemas Inteligentes (GSI) DIT, UPM
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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'''
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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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