e40ac610-39f8-4a74-b3e7-88d7f5a5ffe0 beie director@blueeyesintelligence.org 10.35940/ijrte.B7099.0711222 Data Source from Kaggle https://www.kaggle.com/PromptCloudHQ/amazon-reviews-unlocked-mobile-phon es"Working with text Data" from sklearn http://scikit-learn.org/stable/tutorial/text_analytics/working_with_text_data.html"Using pre-trained word embeddings in a Keras model" from Keras Blog https://blog.keras.io/using-pre-trained-word-embeddings-in-a-keras-model.html"Deep Learning with Word2Vec" from Gensim https://radimrehurek.com/gensim/models/word2vec.html"Deep Learning, NLP, and Representations" http://colah.github.io/posts/2014-07-NLP-RNNs-Representations/)"An Intuitive Understanding of Word Embeddings: From Count Vectors to Word2Vec" https://www.analyticsvidhya.com/blog/2017/06/word-embeddings-count-word2vee c/"Sequence Classification with LSTM Recurrent Neural Networks in Python with Keras" https://machinelearningmastery.com/sequence-classification-lstm-recurrent-neura l-networks-python-keras/"Embedding and Tokenizer in Keras" http://www.orbifold.net/default/2017/01/10/embedding-and-tokenizer-in-keras/