NDLI: LDA based topic modeling of journal abstracts

Content Provider	IEEE Xplore Digital Library
Author	Anupriya, P. Karpagavalli, S.
Copyright Year	2015
Description	Author affiliation: GR Govindarajulu Sch. of Appl. Comput. Technol., Coimbatore, India (Karpagavalli, S.) \|\| PSGR Krishnammal Coll. for Women, Coimbatore, India (Anupriya, P.)
Abstract	Topic modeling is a powerful technique for unsupervised analysis of large document collections. Topic models conceive latent topics in text using hidden random variables, and discover that structure with posterior inference. Topic models have a wide range of applications like tag recommendation, text categorization, keyword extraction and similarity search in the broad fields of text mining, information retrieval, statistical language modeling. In this work, a dataset with 200 abstracts fall under four topics are collected from two different domain journals for tagging journal abstracts. The document models are built using LDA (Latent Dirichlet Allocation) with Collapsed Variational Bayes and Gibbs sampling. Then the built model is used to extract appropriate tags for abstracts. The performance of the built models are analyzed by the evaluation measure perplexity and observed that Gibbs sampling outperforms CV B0 sampling. Tags extracted by two algorithms remains almost the same.
Starting Page	1
Ending Page	5
File Size	350485
Page Count	5
File Format	PDF
e-ISBN	9781479964383
DOI	10.1109/ICACCS.2015.7324058
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-05
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Algorithm design and analysis Topic modeling Latent Dirichlet Allocation Analytical models Laborative Variational Bayes Computational modeling Tagging Bayes methods Approximation methods Gibbs sampling
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
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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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