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Your job is to implement a skip-gram model in python with keras, detailed instructions with code are found enclosed in the document instructions.docx. Please read it carefully. You need good knowledge of python, keras and machine learning. The file that needs to be analysized ([iniciar sesión para ver URL]) is enclosed.
What I need is a comparison of (baseline) LSTM and hybrid LSTMs: ANN (feature selection) and LSTM, SVM (feature selection) and LSTM, any other suitable algorithm (feature selection) and LSTM. Compare and contrast accuracy improvements and possible enhancements. Everything must be coded in Keras platform. I also like Amazon AWS and Google Colab cloud platforms