Sentimental Analysis using Long Short Term Memory Recurrent Neural Networks (DeepLearning)
(40000,)
(40000,)
Excluding stopwords ...
Tokenized to Word indices as
(40000,)
After padding data
(40000, 20)
Loading Glove Vectors ...
Loaded GloVe Vectors Successfully
Embedding Matrix Generated : (32855, 50)
Label Encoding Classes as
{ 0: 'anger',
1: 'boredom',
2: 'empty',
3: 'enthusiasm',
4: 'fun',
5: 'happiness',
6: 'hate',
7: 'love',
8: 'neutral',
9: 'relief',
10: 'sadness',
11: 'surprise',
12: 'worry'}
One Hot Encoded class shape :
(40000, 13)
2018-10-09 00:56:56.582717: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
x shape (4323, 300, 300, 3)
y shape (4323, 5)
| Layer(type) | Output Shape | Param # |
|---|---|---|
| embedding_1 (Embedding) | (None, 20, 50) | 1642750 |
| conv1d_1 (Conv1D) | (None, 20, 30) | 1530 |
| max_pooling1d_1 (MaxPooling1 | (None, 5, 30) | 0 |
| lstm_1 (LSTM) | (None, 5, 100) | 52400 |
| flatten_1 (Flatten) | ((None, 500) | 0 |
| dense_1 (Dense) | (None, 500) | 250500 |
| dense_2 (Dense) | (None, 300) | 150300 |
| dense_3 (Dense) | (None, 13) | 3913 |
Total params: 2,101,393
Trainable params: 458,643
Non-trainable params: 1,642,750
Train on 29936 samples, validate on 64 samples
Finished Preprocessing data ...
x_data shape : (40000, 20)
y_data shape : (40000, 13)
spliting data into training, testing set
Epoch 00096: val_acc did not improve from 0.40625 Epoch 97/100 29936/29936 [==============================] - 8s 277us/step - loss: 1.8189 - acc: 0.3791 - val_loss: 1.9288 - val_acc: 0.2969
Epoch 00097: val_acc did not improve from 0.40625 Epoch 98/100 29936/29936 [==============================] - 8s 259us/step - loss: 1.8162 - acc: 0.3803 - val_loss: 1.9488 - val_acc: 0.3281
Epoch 00098: val_acc did not improve from 0.40625 Epoch 99/100 29936/29936 [==============================] - 7s 249us/step - loss: 1.8131 - acc: 0.3824 - val_loss: 1.9878 - val_acc: 0.3438
Epoch 00099: val_acc did not improve from 0.40625 Epoch 100/100 29936/29936 [==============================] - 7s 249us/step - loss: 1.8122 - acc: 0.3822 - val_loss: 1.9144 - val_acc: 0.3281
Epoch 00100: val_acc did not improve from 0.40625
