Table 3 Experimental environment and parameter settings.

From: Intelligent text analysis for effective evaluation of english Language teaching based on deep learning

Software and hardware environment/parameters

Configuration/value

Operating system

Window10

Processor

AMD Ryzen7

Display card

NVIDIA GeForce RTX 2060

Programming language

Python

DL framework

Tensorflow2.0

Optimization function

RMS-prop

Initial learning rate

0.005

Batch size

64

Weight initialization method

Xavier initialization

Dropout

0.5

Epochs

30

Number of CNN output channels

128

Number of hidden units in LSTM

256

Convolutional kernel size

3, 4, 5 (parallel convolution)

Activation function

ReLU