Text Classification using Neural Network with TensorFlow 2.1 in Python #nlp #tutorial #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.

We would implement text classification using a simple neural network developed using Tensorflow on tweet data to classify tweets as "positive", "negative" or "neutral"

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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

[ijeffking]

Very useful Tutorial. Explanation of every step using simple and lucid language is appreciated. Thank you so much.

[zozo]

Thanks ! can you please explain the attention mechanism and how to implement it also the hierachical attention that would be great

[ayencoscolfield]

This is absolutely very nice video on NLP love it .please can you do video on suicidal tweet sentiment analysis to know if some one is suicial or not based on tweet analysis

[irumidesu]

hello sir, do you have any information about journals that is related to this video?

[ANUJKUMAR-eljf]

All Supervised machine learning algorithm used for text document classification uploaded the video sir

[kuchimanchikrishna]

Can we do the same process for code mixed text??