Approaching Text Summarization using Machine Learning and Deep Neural Network

Approaching Text Summarization using ML and DNN By Mayank Kumar at STTP on ML DL RAIT ACM 2020 This is my talk over the topic "Approaching Text Summarization using Machine Learning and Deep Neural Network" in STTP on ML DL by RAIT, DY Patil University, ACM 2020, where I have shared some of the approaches that we can use to create a text summarizer. I have covered various approaches ranging from classical NLP methods to some of the best current state of the art approaches like BERT. I hope it will be useful for someone who is just starting with NLP or is a beginner in NLP. We will be looking at both the problem formulation as well as the python implementation of one of the solutions. All codes and ppt slides can be accessed at https://github.com/mayank-k-jha/Applied-ML-Talks-by-Mayank-Kumar/tree/master/Approaching-text-summarization-using-ML-and-DNN For more details on the event: https://rait.acm.org/ Github: https://github.com/mayank-k-jha LinkedIn : https://www.linkedin.com/in/mayank-k-jha/ Twitter: https://twitter.com/mayank_k_jha