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x = np.array(data["tweet"])
y = np.array(data["labels"])
cv = CountVectorizer()
X = cv.fit_transform(x) # Fit the Data
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=42)
clf = DecisionTreeClassifier()
clf.fit(X_train,y_train)
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