High Impact Factor : 4.396 icon | Submit Manuscript Online icon |

CALL FOR PAPERS : Mar-2026

Important Dates
Submission Last Date 25-Mar-26
Submit Manuscript Online

NEWS & UPDATES

News for Authors:

We have started accepting articles by online means directly through website. Its our humble request to all the researchers to go and check the new method of article submission on below link: http://www.ijsrd.com/SubmitManuscript

New Features:

Hello Researcher, we are happy to announce that now you can check the status of your paper right from the website instead of calling us. We would request you to go and check your paper status on the below link :http://www.ijsrd.com/CheckPaperStatus

Hello Bloggers....

Hello Researchers, you can now keep in touch with recent developments in the research as well as review areas through our new blog. To find more about recent developments please visit the below link:
http://ijsrd.wordpress.com

Follow us on Social Media:

Dear Researchers, to get in touch with the recent developments in the technology and research and to gain free knowledge like , share and follow us on various social media. http://www.facebook.com/ijsrd http://www.twitter.com/ijsrd

For Acceptance of Your Research Article

Kindly check your SPAM folder of email for acceptance of research paper...

Impact Factor

4.396 (SJIF)
Click Here

IC Value

66.68
Click Here

How to write research paper?

This video will guide authors to write their first research paper. Kindly check it and then prepare article
Click Here

Multilabel Classification of Breaking News of Website by RSS by Multiple Classifier

Author(s):
Amin Manisha Arkhabhai , Grow More Faculty of Engineering; Rakesh Shah, Growmore faculty of engineering

Keywords:
Word2Vec; Information Gain; Mutual Information; RSS Feed

Abstract

Classification is plays major role in all areas of domains. Today we are getting Online News by so many websites and. Every Second we are getting we are getting so many Breaking news from various websites. The Previous research of multilabel classification for news using TF-IDF. The Purpose of this paper is to implementation of multilabel classification using feature based on Word2Vec. Word2Vec is an unsupervised task utilizing unlabelled data to convert a word into vector representation. We are going to research over classification of Breaking News in Multi Class Category. To get the Breaking News we are using RSS Parsing of various news channel/ newspaper websites.

Other Details
Paper ID: IJSRDV6I100110
Published in: Volume : 6, Issue : 10
Publication Date: 01/01/2019
Page(s): 140-141

Article Preview
Download Article