Text Classification using Convolutional Neural Network with TensorFlow 2.1 in Python | #NLProc

Text Classification using Convolutional 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 Convolutional Neural Network with TensorFlow 2.1 in python. I am specifically training a simple convolutional 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-sentiment-extraction/overview)
We would implement text classification using a simple neural network developed using Tensorflow on tweet data to classify tweets as "positive", "negative" or "neutral"
The code is present here: https://github.com/rsreetech/TextClassificationTensorFlowCNN

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Chapters/Timestamps :
00:00 Text Classification using Convolutional Neural Network with TensorFlow 2.1 in Python
01:06 Dataset description
03:00 Pre-processing methods
04:56 Converting training, testing data to TensorFlow training format
12:30 Creating Convolutional Neural Network with TensorFlow 2.1
22:04 Training Convolutional Neural Network
25:21 Saving Convolutional Neural Network Model and Tokenizer
26:09 Re-loading Convolutional Neural Network Model and Tokenizer and testing on test data

Видео Text Classification using Convolutional Neural Network with TensorFlow 2.1 in Python | #NLProc канала Rithesh Sreenivasan