Method of Profanity Detection Using Word Embedding and LSTM

Table 4

LSTM model.

---

el = Sequential ()

---

>>> mod

>>> model.add (LSTM (units = 1, input_shape = (25, 100)))

>>> model.add (Dense (1, activation = ‘sigmoid’))

>>> model.compile (loss = ‘binary_crossentropy’,optimizer = ‘RMSprop’,metrics = [‘accuracy’]).

>>> model.fit (X_train, y_train, epochs = 2, validation_data = (X_test, y_test))

---