• Mohammad Aalam
• Suaib Ahmad
• Mohd Haroon

Question answering (QA) is a high-quality research setback in NLP (Natural Language Processing). Regardless of being one of the oldest research areas, QA has an appliance in an extensive range of tasks, for examplereclaiming information as well as extracting entities. In recent times, QA has also been utilized to build up dialog systems and chatbots designed to imitate human conversation. With advances in deep learning, neural network variants have become a dominant structure for many natural language programming(NLP) tasks.In this paper, we aim to design a system that is based on deep learning approach to generate Question and Answering Automatically.We exploit NLP, machine learning and KNN for the generating question and their best answer.

Question answering, NLP, Deep Mining, chatbots.

"Question and AnswerModel on Textual Data Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.315-318, June 2019, Available :http://www.jetir.org/papers/JETIR1906U78.pdf

"Question and AnswerModel on Textual Data Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp315-318, June 2019, Available at : http://www.jetir.org/papers/JETIR1906U78.pdf