A Survey on Auto Text Generator to Enhance the User Experience Using Machine Learning

Authors

  • Prof. G. G. Sayyad  Department of Computer Engineering, S. B. Patil College of Engineering, Maharashtra, India
  • Sanket Chandrakant Jadhav  Department of Computer Engineering, S. B. Patil College of Engineering, Maharashtra, India
  • Nandkumar Suresh Korade  Department of Computer Engineering, S. B. Patil College of Engineering, Maharashtra, India
  • Petkar Onkar Shankar  Department of Computer Engineering, S. B. Patil College of Engineering, Maharashtra, India
  • Waghmare Omkar Krishna  Department of Computer Engineering, S. B. Patil College of Engineering, Maharashtra, India

Keywords:

Machine Learning, Writing Email, Writing Letter, Keyword to Write a Paragraph.

Abstract

A based-on speech pattern. Researchers and As the library website and its online searching tools become the primary “branch” many users visit for their research, methods for providing automated, context-sensitive research assistance need to be developed to guide unmediated searching toward the most relevant results. This study examines one such method, the use of autocompletion in search interfaces, by conducting usability tests on its use in typical academic research scenarios. The study reports notable findings on user preference for autocomplete features and suggests best practices for their implementation.Go the Editpad.org, search for the Abstract Generator, open it, and enter your text to create an abstract of any text within seconds

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2023-10-30

Issue

Volume 9, Issue 10, September-October-2023

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Prof. G. G. Sayyad, Sanket Chandrakant Jadhav, Nandkumar Suresh Korade, Petkar Onkar Shankar, Waghmare Omkar Krishna, " A Survey on Auto Text Generator to Enhance the User Experience Using Machine Learning" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 10, pp.180-184, September-October-2023.