Which machine learning classifier will be used in numerous representation of Arabic corpus datasets. whether the accuracy rate has increased compared to previous research techniques. ?
Hi Amjed Ahmed,
In this case I would recommend you to take a look on the implementation of Recurrent Neural Networks (RNNs) like the LSTM architecture or Bidirectional RNNs for leveraging the sequence information from the words. There are high-level APIs written in python like keras that you can easily run those models.
This tutorial has the theory and code to implement the LSTM model in python:
https://adventuresinmachinelearning.com/keras-lstm-tutorial/
If the reply was useful, please, recommend for others,
For Sequence model like speech and text. The state of the art are RNN.
You could choose different gated layer like (LSTM or GRU). Also you can combine those layer like (FC and CNN) according to the task.
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