UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Published in:

Volume 11 Issue 10
October-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2410046


Registration ID:
548599

Page Number

a380-a382

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Title

Predictive Text Generator

Abstract

This paper explores the evolution of predictive text generation, focusing on state-of-the-art techniques in natural language processing (NLP), including machine learning algorithms and deep learning models. We provide a detailed analysis of the current landscape, describe the development of our own predictive text model, and assess its real-world applications. The results indicate that our model improves text completion efficiency, showcasing its potential to enhance user interaction across various domains.

Key Words

Predictive text generation

Cite This Article

"Predictive Text Generator", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 10, page no.a380-a382, October-2024, Available :http://www.jetir.org/papers/JETIR2410046.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Predictive Text Generator", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 10, page no. ppa380-a382, October-2024, Available at : http://www.jetir.org/papers/JETIR2410046.pdf

Publication Details

Published Paper ID: JETIR2410046
Registration ID: 548599
Published In: Volume 11 | Issue 10 | Year October-2024
DOI (Digital Object Identifier):
Page No: a380-a382
Country: dombivali, Maharashtra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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