CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

A System to Filter Unwanted Messages from Online Social Network (OSN) User Walls

Published on May 2016 by Ankush S. Nisal, Yogesh Nimbalkar, Niteen Pisal, Ravikumar Pathare, Satish Kumar Penchala
journal_cover_thumbnail

National Conference on Advancements in Computer & Information Technology
Foundation of Computer Science USA
NCACIT2016 - Number 6
May 2016
Authors: Ankush S. Nisal, Yogesh Nimbalkar, Niteen Pisal, Ravikumar Pathare, Satish Kumar Penchala
9bb9c025-38a6-4ece-a951-fee99c40e3bd

Ankush S. Nisal, Yogesh Nimbalkar, Niteen Pisal, Ravikumar Pathare, Satish Kumar Penchala . A System to Filter Unwanted Messages from Online Social Network (OSN) User Walls. National Conference on Advancements in Computer & Information Technology. NCACIT2016, 6 (May 2016), 10-13.

@article{
author = { Ankush S. Nisal, Yogesh Nimbalkar, Niteen Pisal, Ravikumar Pathare, Satish Kumar Penchala },
title = { A System to Filter Unwanted Messages from Online Social Network (OSN) User Walls },
journal = { National Conference on Advancements in Computer & Information Technology },
issue_date = { May 2016 },
volume = { NCACIT2016 },
number = { 6 },
month = { May },
year = { 2016 },
issn = 0975-8887,
pages = { 10-13 },
numpages = 4,
url = { /proceedings/ncacit2016/number6/24732-3085/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advancements in Computer & Information Technology
%A Ankush S. Nisal
%A Yogesh Nimbalkar
%A Niteen Pisal
%A Ravikumar Pathare
%A Satish Kumar Penchala
%T A System to Filter Unwanted Messages from Online Social Network (OSN) User Walls
%J National Conference on Advancements in Computer & Information Technology
%@ 0975-8887
%V NCACIT2016
%N 6
%P 10-13
%D 2016
%I International Journal of Computer Applications
Abstract

Internet becomes more and more popular in the day to day activities of user's. In recent years use of online social networks (OSN) also increased rapidly. The users can communicate and share their views, ideas and content through online social networking (OSN). Several types of content like image, text, audio, video etc can be shared between the users. The main drawback of these Online Social Networking (OSN) services is the lack of privacy for the user's own private space. The users can not have ability to direct control to prevent the undesired messages posted on their own private walls. There are only the unwanted messages will be blocked not the user. To avoid this issue, BL (Black List) mechanism is used in this paper, which avoids undesired creators messages.

References
  1. Marco Vanetti, Elisabetta Binaghi, Elena Ferrari, Barbara Carminati, an Moreno Carullo, " A System to Filter Unwanted Messages from OSN User Walls",2013.
  2. Hongyu Gao, Alok Choudhary, Yan Chen, Northwestern University Evanston, IL, USA.
  3. F. Sebastiani, "Machine Learning Automated Text Categorization", ACM Computing surveys, vol. 34, no. 1, pp. 1-47, 2002.
  4. M. Carullo, E. Binaghi and I. Gallo, and N. Lamberti, "Clustering of Short commerical Documents for the web," Proc. 19th Int'l conf. Pattern Recognition (ICPR '08), 2008.
  5. V. Bobicev and M. Sokolova, "An Effective and RobustMethod for Short Text Classification," Proc. 23rd Nat'lConf. Artificial Intelligence (AAAI), D. Fox andC. P. Gomes, eds. , pp. 1444-1445,2008.
  6. J. Colbeck, "Combining Provenance with Trust in Social Networks for Semantic Web Content Filtering," Proc. Int'l conf. Provenance and Annotation of Data, L. Moreau and I. Foster, eds. , pp. 101-108, 2006. jcjv
  7. M. Vanetti, E. Binaghi, B. Carminati, M. Carullo, andE. Ferrari, "Content- Based Filtering in On-Line Social Networks", 2010.
  8. M. Vanetti, E. Binaghi, B. Carminati, M. Carullo, and E. Ferrari, "Content-Based Filtering in On-Line Social Networks," Proc. ECML/PKDD Workshop Privacy and Security Issues in Data Mining and Machine Learning (PSDML '10), 2010.
  9. R. J. Mooney and L. Roy, "Content-Based Book Recommending Using Learning for Text Categorization", 2000.
  10. S. Zelikovitz and H. Hirsh, "Improving Short Text Classiication Using Unlabeled BAckground Knowledge," Proc. 17th Int'l Conf. Machine Learning (ICML '00), P. Langley, ed. ,pp. 1183-1190, 2000
Index Terms

Computer Science
Information Sciences

Keywords

Machine Learning Techniques Online Social Networks (osn) Short Text Classifier Filtered Wall Filtering Rules And Black List(bl).