JCOM_V4_N4_RP5 Dipti Pawade Mansi Jain Gauri Sarode Journal on Computer Science 2347–6141 4 4 32 36 Automatic Text Generation, Natural Language Processing, Recurrent Neural Network, Long Short-Term Memory In the world of automating tasks and reducing human effort, it is essential for a computer to be able to produce text like humans. This will enable us to let the computer work on insignificant tasks, such as create a summary for an advertisement or a product as well as generate a different outlook on most things like a sequel for a movie or a book. In this paper, the authors aim to review different approaches that have been implemented for generating text based output and devise the most optimal approach that can be used. In this they have compared four different methods used to generate text from various scenarios. December 2016 - February 2017 Copyright © 2017 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=13418