Research Article

Learning Users’ Intention of Legal Consultation through Pattern-Oriented Tensor Decomposition with Bi-LSTM

Table 2

F1 score of algorithms based on multiple deep neural networks.

Optimization Basic algorithm
TextCNN TextCNN attention TextRNN TextRNN attention LSTM BiLSTM GRU Bi-GRU

The original method 0.64 0.70 0.68 0.71 0.70 0.74 0.710.77
CP TP method 0.72 0.77 0.80 0.78 0.830.87 0.83 0.84
Tucker TP method 0.75 0.77 0.76 0.81 0.80 0.84 0.820.86
Pattern-oriented TP0.830.850.840.860.880.920.860.89