Online Social Network Mining
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International Journal of Computer Trends and Technology (IJCTT) | ![]() |
© 2016 by IJCTT Journal | ||
Volume-35 Number-4 |
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Year of Publication : 2016 | ||
Authors : Kanika Mathur |
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.