CALL FOR PAPERS

Author Information

CERTIFICATE

IMPACT FACTOR 2019

Subject Area

Life Sciences / Biology
Architecture / Building Management
Asian Studies
Business & Management
Chemistry
Computer Science
Economics & Finance
Engineering / Acoustics
Environmental Science
Agricultural Sciences
Pharmaceutical Sciences
General Sciences
Materials Science
Mathematics
Medicine
Nanotechnology & Nanoscience
Nonlinear Science
Chaos & Dynamical Systems
Physics
Social Sciences & Humanities

Why Us? >>

Open Access
Peer Reviewed
Rapid Publication
Life time hosting
Free promotion service
Free indexing service
More citations
Search engine friendly

Plagiarism Detection

IJCR is following an instant policy on rejection those received papers with plagiarism rate of more than 20%. So, All of authors and contributors must check their papers before submission to making assurance of following our anti-plagiarism policies.

Machine Learning Techniques For Filtering Noisy Contents in Online Social Network

Author:

Kiruthika, P. and Kalaiprasath, R.

Subject Area:

Physical Sciences and Engineering

Abstract:

Today online social networks has provide only little support for prevent the displaying of noisy contents on users space. To address this issue, we propose directly to control the noisy contents in user private/public space. This is achieved by using machine learning techniques to automatically assign with each short text messages under the categories based on its content with the help of content based filtering and users customize to filter without displaying of noisy content from their own private space by applying of filtering rules using rule based system.

PDF file:

13138.pdf

Announcement

QUICK RESPONSE - CONTACT US

Please feel free to contact me if you have any questions or comments....

Invited for research articles

Call for papers - October 2021

Call for Editorial Board Members

We are seeking professionals to join our Editorial Board. You will be entitled following benefits while...