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A Study of Intelligent Reading Model Cover

Figures & Tables

Figure 1.

Overall framework
Overall framework

Figure 2.

Flow of data preprocessing
Flow of data preprocessing

Figure 3.

Participle screenshot
Participle screenshot

Figure 4.

Bagging process
Bagging process

Figure 5.

Gaussian Bayesian algorithm flow
Gaussian Bayesian algorithm flow

Figure 6.

Accuracy comparison diagram
Accuracy comparison diagram

Figure 7.

F-Measure comparison
F-Measure comparison

TWO-DIMENSIONAL CONFUSION MATRIX

 actual value
positiveWrong
Forecast valuepositiveThe forecast is positive, The actual is positive (TP)The forecast is positive, the actual is wrong (FP)
Such as type (10)WrongThe forecast is wrong, the actual is positive (FN)The forecast is wrong, the actual is wrong (TN)

STOP WORD LIST(PARTIAL)

categoryStop Words
prepositionOn, In, At, under, Beside, Behind, To, Over, with
pronounEveryone, everything, everywhere
adverbsSo, still, therefore, moreover, however

COMPARISON OF PREDICTION RESULTS

 decision treeBaggingGauss BayesianCombination algorithm
Accuracy0.65690.71050.70930.7112
F-Measure0.33540.19330.25040.3381
Language: English
Page range: 106 - 113
Published on: Oct 1, 2019
Published by: Xi’an Technological University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2019 Yu Jun, Hu Zhiyi, Kang Qinyu, Li Zhonghua, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.