Online Social Network Mining

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2016 by IJCTT Journal
Volume-35 Number-4
Year of Publication : 2016
Authors : Kanika Mathur

MLA

Kanika Mathur "Online Social Network Mining". International Journal of Computer Trends and Technology (IJCTT) V35(4):202-206, May 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
In today’s world everybody is smart and smart people rely on Social Media to communicate, express feelings and share information with friends. Social Media is the means where now a day’s people feel free to express their emotions. Social Media gathers the data in structured and unstructured, formal and informal data as users do not care about the spellings and accurate grammatical formation of a sentence while communicating with each other using different social networking websites. So most existing text mining methods adopted term-based approaches but they all suffer from the problems of vagueness and synonymy. Vagueness is the word which giving the multiple meaning of word and synonymy is the word which giving the similar meaning of word. So, in this paper we will see how the text is mined and useful data is extracted. [2].

References
[1] Rupali Bhaisare, T.Raju Rao, Review On Text Mining with Pattern Discovery, P.G. Student, Department of Computer Science & Engineering, Abha Gaikwad-Patil College of Eng., Nagpur, India, Professor, Department of Computer Science & Engineering, Abha Gaikwad-Patil College of Eng., Nagpur, India
[2] Ms. Priyanka Patel1, Ms. Khushali Mistry, Text Classification on Social Media Data, PG Student, Department of CSE, PIET, Vadodara, India, Asst. Prof. Dept of CSE, PIET, Vadodara, India.
[3] David Jensen and Jennifer Neville, Data Mining in Social Networks. Knowledge Discovery Laboratory. Computer Science Department, University of Massachusetts, Amherst, MA 01003{Jensen, jneville} @cs.umass.edu
[4] G Nandi, A Das, Online Social Network Mining: Current Trends And Research Issues. Assam Don Bosco University Guwahati, Assam 781017, India. St. Anthony‟s College, Shillong, Meghalaya 793001, India.
[5] I-Hsien Ting, Web Mining Techniques for On-line Social Networks Analysis, Department of Information Management, National University of Kaohsiung No. 700, Kaohsiung University Road, Nanzih District, Kaohsiung City, 811 Taiwan.

Keywords
vagueness; synonymy.