CNN

CNN.py

    def CNN(self):
        model = Sequential()
        model.add(Embedding(self.vocab_length, 30, input_length=self.max_len)) # Max Length of Tweet
        model.add(Convolution1D(64,5,activation="relu"))
        model.add(Dropout(0.5))
        model.add(Convolution1D(32,3,activation="relu"))
        model.add(Dropout(0.5))
        model.add(Convolution1D(16,3,activation="sigmoid"))
        model.add(MaxPooling1D(5))
        model.add(Flatten())
        model.add(Dense(self.tr_labels.shape[1],activation='softmax'))
        model.compile(loss='categorical_crossentropy', optimizer='adam',metrics=['accuracy'])
        model.summary()
        self.model = model