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Text Classification using Neural Network with TensorFlow 2.1 in Python

Text Classification using Neural Network with TensorFlow 2.1 in Python | Natural Language Processing Tutorial | #NLproc In this video I will demonstrate how we can implement text classification using Neural Network with TensorFlow 2.1 in python. I am specifically training a simple neural network based text classification model to classify sentiment of tweets . I will be using the tensorflow gpu version. The dataset is from the Tweet Sentiment Extraction challenge from Kaggle(https://www.kaggle.com/c/tweet-sentim...) We would implement text classification using a simple neural network developed using Tensorflow on tweet data to classify tweets as "positive", "negative" or "neutral" 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 The code is present here: https://github.com/rsreetech/TextClas... Chapters/Timestamps : 00:00 Text Classification using Neural Network with TensorFlow 2.1 in Python 01:16 Dataset description 03:10 Pre-processing methods 04:15 Converting training,testing data to TensorFlow training format 08:40 Embedding Layer 09:56 Simple Baseline Neural Network model using TensorFlow for text classification 14:07 Visualizing the Neural Network model 15:33 Training the Neural Network model 20:23 Improved Neural Network model using TensorFlow for text classification 25:16 Testing Improved Neural Network(INN) model on test dataset 27:48 Saving the INN model , followed by reloading the model to test it