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A simple script to split airline sentiment dataset into train and test set
import numpy as np
import pandas as pd
from sklearn import model_selection
al = pd.read_csv("Airline-Sentiment-2-w-AA.csv", encoding='ISO-8859-1')
train_al, test_al = model_selection.train_test_split(al, test_size=0.2, random_state=2018)
train_al.to_csv("train_airline_sentiment.csv", index=False)
test_al.to_csv("test_airline_sentiment.csv", index=False)
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