Fake news classification using LSTM with end to end model deployment

In this video we explores the use of LSTM networks for fake news detection, focusing on data preprocessing, model training, and deployment. We'll dive into the specifics of preparing textual data for LSTM input, discussing sequence processing and feature extraction techniques. Learn how LSTM's ability to capture long-term dependencies aids in discerning between genuine and fake news articles and also guide you through the training process, highlighting key considerations for model evaluation and validation. Witness a live demonstration of the deployed system in action, showcasing its effectiveness in real-world scenarios. Gain valuable insights into LSTM model deployment strategies.

Time Stamps :
00:00 - Project Description
03:00 - Understand about Data
07:13 - EDA(exploratory data analysis)
21:55 - Text Preprocessing
34:37 - LSTM model Training and validation
53:00 - LSTM model deployment