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While we have presented experimental and hyperparameter settings in the Section 4, we report implementation tools in this section. We implement neural models by PyTorch (Paszke et al., 2019) and non-neural models by scikit-learn (Pedregosa et al., 2011). For the BERT model, we use the Hugging Face Transformers (Wolf et al., 2020). The Keras (Chollet et al., 2015) helped preprocess text documents for neural models, including padding and tokenization. We trained models on an NVIDIA RTX 3090 and evaluated the models on CPUs.