NDLI: Combination of singular value decomposition and K-means clustering methods for topic detection on Twitter

Content Provider	IEEE Xplore Digital Library
Author	Nur'aini, Khumaisa Najahaty, Ibtisami Hidayati, Lina Murfi, Hendri Nurrohmah, Siti
Copyright Year	2015
Description	Author affiliation: Department of Mathematics, Universitas Indonesia, Indonesia (Nur'aini, Khumaisa; Najahaty, Ibtisami; Hidayati, Lina; Murfi, Hendri; Nurrohmah, Siti)
Abstract	Online social media are growing very rapidly in recent years, such as Twitter. Even the interaction and communication in the social media can reflect on the events of the real world. This causes the value of the information increasing significantly. However, the huge amount of the information requires a method of automatically detecting topics, one of which is the K-means Clustering. Moreover, the large dimensions of data become obstacles. So, we used singular value decomposition (SVD) to reduce the dimension of the data prior to the learning process using the K-means Clustering. The accuracy of the combination of SVD and K-means Clustering methods showed comparative results, while the computation time required is likely to be faster than the method of K-means Clustering without any reduction in advance.
Starting Page	123
Ending Page	128
File Size	128213
Page Count	6
File Format	PDF
e-ISBN	9781509003631
DOI	10.1109/ICACSIS.2015.7415168
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-10
Publisher Place	Indonesia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Dimension reduction Symmetric matrices Topic detection Clustering algorithms Media Twitter Eigenvalues and eigenfunctions Matrix decomposition K-means clustering Singular value decomposition
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Mr. Siddhartha Mukherjee siddhartha@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	ndl-support@iitkgp.ac.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Libarray of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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