Auto Text Generator Using Machine Learning an...

Auto Text Generator Using Machine Learning and Tensor Flow

Author Name : Amol Bhilare, Arpit Vidhale, Shivani Vikhar, Ishita Wagh, Akash Waghmare

ABSTRACT

The most significant development of the twenty-first century is the auto-generated text. This is referred to as the brand-new, ground-breaking tool for advancing technology. It is now a practical choice that gives bloggers, content managers, and even journalists a new method of producing material. In this article, we provide an overview of how to quickly activate this technology to create high-quality content depending on user needs. A quick summary of the Deep Generative modeling advancements is provided in this survey. Our project's objective is to build an Auto Text Generator in this technologically advanced environment. This versatile tool will allow for new information integration methods requiring less human effort. Additionally, using this process, we would go over the prior industry research.

Keywords: NLP, RNNs, Transformer, LSTMs, Conditional Probability Distribution, Data Pipeline.