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Values of each evaluation index under the optimal classification combination model.
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Classification performance of different combinations of text representation method & classifier.
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Classification performance of each category of the test set in MLP during the improved processes.
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Quantity ratio of the true and predicted values of various attractions in the two provinces.
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The optimal combination of text representations and classifiers for different-size text sets.
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Comparing true and predicted values of the top 2–3 categories in different level attractions.
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Weighted-F1 values for different combinations of text representations & classifiers.
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Weighted-F1 of the optimal combination model with different scale text sets.
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