An Event detection method in social media based on LDA and K-mean algorithm
Zarana J Patel
, Rachana Modi
Topic modeling, Event detection, Twitter, LDA, Data mining, K-mean.
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.
"An Event detection method in social media based on LDA and K-mean algorithm", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 10, page no.177 - 181, October-2023, Available :https://ijsdr.org/papers/IJSDR2310032.pdf
Volume 8
Issue 10,
October-2023
Pages : 177 - 181
Paper Reg. ID: IJSDR_208843
Published Paper Id: IJSDR2310032
Downloads: 000347193
Research Area: Engineering
Country: Mahesana, Gujarat, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
