text	                                         pork_bill
0	軍人撫卹條例第十八條條文修正草案落實軍人及眷屬之照顧...   1
1	所得稅法第十七條條文修正草案學費之特別扣除額應以每人...   1
2	所得稅法第十一條條文修正草案保險人員申報時得扣除一定...   1
3	土地稅法第二十八條之一條文修正草案土地贈與文教基金會...   1
4	敬老福利生活津貼暫行條例第三條條文修正草案放寬請領資...   1
5	洗錢防制法部分條文修正草案給予法官較大權限；起訴期間...	 0
6	日據時代日本政府國庫券及債券處理條例草案就是保障日據...	 0
7	大陸地區人民來臺從事觀光活動條例草案開放大陸人民觀光...	 0
8	限制欠稅人或欠稅營利事業負責人出境實施條例草案現行法...	 0
9	使用牌照稅法第七條條文修正草案民營汽車駕駛人訓練機構...	 1

Num of Train Set: 4852 
Not Pork vs Pork: {0: 3167, 1: 1685}

Num of Test Set: 2391 
Not Pork vs Pork: {0: 1566, 1: 825}

Model: "PorkCNN"
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
embedding (Embedding)        multiple                  586600    
_________________________________________________________________
conv1d (Conv1D)              multiple                  40100     
_________________________________________________________________
conv1d_1 (Conv1D)            multiple                  40100     
_________________________________________________________________
conv1d_2 (Conv1D)            multiple                  60100     
_________________________________________________________________
conv1d_3 (Conv1D)            multiple                  60100     
_________________________________________________________________
conv1d_4 (Conv1D)            multiple                  80100     
_________________________________________________________________
conv1d_5 (Conv1D)            multiple                  100100    
_________________________________________________________________
global_max_pooling1d (Global multiple                  0         
_________________________________________________________________
dense (Dense)                multiple                  179456    
_________________________________________________________________
dropout (Dropout)            multiple                  0         
_________________________________________________________________
dense_1 (Dense)              multiple                  257       
=================================================================
Total params: 1,146,913
Trainable params: 1,146,913
Non-trainable params: 0
_________________________________________________________________

              precision    recall  f1-score   support

           0       0.95      0.97      0.96      1566
           1       0.94      0.91      0.92       825

    accuracy                           0.95      2391
   macro avg       0.95      0.94      0.94      2391
weighted avg       0.95      0.95      0.95      2391

                     Prediction: Not Pork(0)	   Prediction: Pork(1)
Acutal: Not Pork(0)	               1520	                   46
Acutal:    Pork (1)	                 76	                  749

11/11 [==============================] - 3s 312ms/step - loss: 0.1779 - accuracy: 0.9477
[0.17792339622974396, 0.9477206468582153]

from tensorflow import keras
model = keras.models.load_model('PorkCNN\lour_pork_model') 

@misc{PorkCNN,
    howpublished = {\url{https://github.com/davidycliao/PorkCNN}},
    title = {A Small Project for Pork Barrel Legislation Classification Using Convolutional Neural Networks},
    author = {David, Yen-Chieh Liao},
    publisher = {GitHub},
    year = {2021}
}