INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
An Event detection method in social media based on LDA and K-mean algorithm
Authors Name:
Zarana J Patel
, Rachana Modi
Unique Id:
IJSDR2310032
Published In:
Volume 8 Issue 10, October-2023
Abstract:
As an Event constituting a new stage in a changing situation like social media today the short text generated at large scale through those medium for convenient communication between people all over the world. Topic model like LDA have huge success to find latent pattern from large amount of documents, but it is challenging to apply it directly on short text like tweets on twitter micro blog. Due to uncertainty of term distributed over topic the cross topics discovered through LDA can be further cluster using K-mean algorithm to extract accurate event from twitter. Further discovery of topics k-mean is integrated with LDA topic model. At the end we conclude that LDA with K-mean was discovered good topics than LDA alone.
Keywords:
Topic modeling, Event detection, Twitter, LDA, Data mining, K-mean.
Cite Article:
"An Event detection method in social media based on LDA and K-mean algorithm", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 10, page no.177 - 181, October-2023, Available :http://www.ijsdr.org/papers/IJSDR2310032.pdf
Downloads:
000338720
Publication Details:
Published Paper ID: IJSDR2310032
Registration ID:208843
Published In: Volume 8 Issue 10, October-2023
DOI (Digital Object Identifier):
Page No: 177 - 181
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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