 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
|
Issue: December 2025
Volume 10 | Issue 12
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19482
Article Published : 8050
Total Authors : 21282
Total Reviewer : 770
Total Countries : 145
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Optimization of Neural Network for News Classification |
| Authors Name: | T.Thirupathirao , V.Navya , P.Kiranmai , T.Ayyappa , P.Bhanu Pranay |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_187442
|
| Published Paper Id: | IJRTI2307054 |
| Published In: | Volume 8 Issue 7, July-2023 |
| DOI: | |
| Abstract: | The evolution of the information and communication technologies has dramatically increased the number of people with access of Internet, which lead to increase fake news. This amplified the old problem of fake news, which became a major concern nowadays due to the negative impact it brings to the communities. In order to tackle the rise and spreading of fake news. We created a machine learning model using a verified dataset from Kaggle which classifies the data using term frequency and inverse document frequency to predict whether the given news is fake or not. For optimizing the output, now we are building a new deep learning model and will compare the accuracy between the previous Multinomial Naive Bayes and current Neural Network. For testing this model we will create an integration of the project into the web to test and produce the output. |
| Keywords: | Fake news detection, Deep learning, Neural Network,Tokenization, Activation Function, Convolutional Neural Network. |
| Cite Article: | "Optimization of Neural Network for News Classification", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 7, page no.358 - 361, July-2023, Available :http://www.ijrti.org/papers/IJRTI2307054.pdf |
| Downloads: | 000205111 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2307054
Registration ID:187442
Published In: Volume 8 Issue 7, July-2023
DOI (Digital Object Identifier):
Page No: 358 - 361 Country: Vizianagaram, Andhra Pradesh, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2307054 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2307054 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2025 - All Rights Reserved - IJRTI | |||