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sinanyuksel
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Create sentiment
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sentiment
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# This Python 3 environment comes with many helpful analytics libraries installed
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# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python
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# For example, here's several helpful packages to load
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import numpy as np # linear algebra
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import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
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# Input data files are available in the read-only "../input/" directory
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# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory
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import os
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for dirname, _, filenames in os.walk('/kaggle/input'):
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for filename in filenames:
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print(os.path.join(dirname, filename))
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# You can write up to 5GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using "Save & Run All"
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# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session
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