Low Cost Journal,International Peer Reviewed and Refereed Journals,Fast Paper Publication approved journal IJEDR(ISSN 2321-9939) apply for ugc care approved journal, UGC Approved Journal, ugc approved journal, ugc approved list of journal, ugc care journal, care journal, UGC-CARE list, New UGC-CARE Reference List, UGC CARE Journals, ugc care list of journal, ugc care list 2020, ugc care approved journal, ugc care list 2020, new ugc approved journal in 2020, Low cost research journal, Online international research journal, Peer-reviewed, and Refereed Journals, scholarly journals, impact factor 7.37 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool)
INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH
(International Peer Reviewed,Refereed, Indexed, Citation Open Access Journal)
ISSN: 2321-9939 | ESTD Year: 2013

Current Issue

Call For Papers
September 2020

Volume 8 | Issue 3
Last Date : 29 September 2020
Review Results: Within 12-20 Days

For Authors

Archives

Indexing Partner

Research Area

LICENSE

Facts & Figures

Paper Details
Paper Title
Trend Identification in Social Network (Globally or Locally)
Authors
Vishal D. Monpara,Prof. Pradyumansinh U. Jadeja
Abstract
As usage of IT technologies increasing day by day, the quantity of web generated data are also increasing. This leads to large data collected in to web. So, different web mining techniques can be applied to explore and analyze web data for extraction of interesting information. Twitter is popular online social networking website which provides users to post and share tweets with restriction of 140 characters. Day by day tweets and number of active users are increasing on twitter and which generates lots of web data that can be useful for the detection of trends. The content shared by user can be globally or locally, which forms the Trend in community. It is important for organization to know these trends as quickly as possible. Many methods and systems have been proposed for trend identification over social network. We have proposed a new method for detection of trend from the various tweets collected from twitter users.
Keywords- Web Mining, SNS, Trend Identification, Social Network
Publication Details
Unique Identification Number- IJEDR1502133
Page Number(s)- 748-750
Pubished in- Volume 3 | Issue 2 | May 2015
E-ISSN Number- 2321-9939
Cite this Article
Vishal D. Monpara,Prof. Pradyumansinh U. Jadeja, "Trend Identification in Social Network (Globally or Locally)", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Vol.3, Issue 2, pp.748-750, May 2015, Available :http://www.ijedr.org/papers/IJEDR1502133.pdf
Share This Article


Article Preview

ISSN Details




DOI Details



Providing A digital object identifier by DOI
How to get DOI?

For Reviewer /Referral (RMS)

Important Links

NEWS & Conference

Digital Library

Our Social Link

Open Access

This material is Open Knowledge
This material is Open Data
This material is Open Content
© Copyright 2020 IJEDR.ORG All rights reserved