NDLI: Analysis and Visualization of Time Series Data from Consumer-Generated Media and News Archives

Content Provider	IEEE Xplore Digital Library
Author	Tak-chung Fu Sze, D.C.M. Leung, P.K.C. Kei-yuen Hung Fu-lai Chung
Copyright Year	2007
Description	Author affiliation: Hong Kong Polytech. Univ., Hong Kong (Tak-chung Fu; Sze, D.C.M.; Leung, P.K.C.)
Abstract	Internet has become an indispensable part of everyday life with millions of people around the globe using it for a wide range of daily activities such as monitoring stock prices, posting blogs, and browsing online newspapers. Though a vast amount of information can be easily searched and obtained in seconds simply by pressing a click with a fingertip, the overflow of information popping up may not be something really relevant to what we need and therefore, it creates a headache to us when it comes to scanning and extracting relevant and useful information. Finding a wise way of extracting only the useful data for further analysis plays a significant role in promoting the efficient and effective use of the internet. In this paper, we present a system which performs the analysis and visualization of the emerging consumer generated media (CGM) posts and online news archives in a more user-friendly way. In order to overcome the heavy time complexity incurred, we would employ an approach to extract only the useful data from the CGM by means of the time series data processing technique, namely, the perceptual important point (PIP). By correlating the sorted out time series data with the online texts, further analysis could be done in a more effective and efficient way. With valuable and easy-to-understand information generated by using the perceptual important point (PIP), many businesses could gain the upper hand in today's competitive world market.
Starting Page	259
Ending Page	262
File Size	712661
Page Count	4
File Format	PDF
ISBN	0769530281
DOI	10.1109/WI-IATW.2007.104
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-11-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data analysis Time series analysis User-generated content Blogs Data visualization Social Media AnalysisTime Series AnalysisPerceptual Important Point Pressing Internet Performance analysis Data mining Monitoring
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	Dr. B. Sutradhar bsutra@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	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library 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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