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Text Classification using LSTM on Amazon Review Dataset with TensorFlow 2.1

In this video I will demonstrate how we can implement text classification using LSTM using TensorFlow 2.1. I am specifically training a simple LSTM based text classification model to classify sentiment of Amazon Reviews . The dataset is from Amazon Review Data (2018) https://nijianmo.github.io/amazon/ind.... I here look at Cell Phones and Accessories review dataset from "Small" subsets for experimentation. I have pre-processed this dataset. The script for pre-processing is present here: https://github.com/rsreetech/TextClas... Let us perform sentiment classification by considering reviews which have rating 3(3,4,5) and above as having positive sentiment and reviews having ratings below 3(1,2) as negative sentiment. Let us develop a LSTM based classification model for sentiment classification on review data. The code is present here: https://github.com/rsreetech/TextClas... If you are new here and like such content please subscribe to the channel here: https://www.youtube.com/c/RitheshSree... If you like to support me financially, It is totally optional and voluntary. Buy me a coffee here: https://www.buymeacoffee.com/rithesh Chapters/Timestamps : 00:00 Text Classification using LSTM on Amazon Review Dataset with TensorFlow 2.1 - Natural Language Processing Tutorial 01:46 Data Preprocessing 04:40 Train, Test and Validation Dataset Creation 07:06 Converting Train, Test and Validation text into sequences 08:58 TensorFlow dataset creation 10:14 Creation of LSTM network 18:25 Model visualization 20:05 Model Training 25:45 Model Testing on test data