mining thesis on shodhganga

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METADATA TAGGING OF LIBRARY AND INFORMATION SCIENCE THESES: SHODHGANGA (2013-2017)

Electronic Theses and Dissertations (ETDs) poses the challenge of managing and extraction of appropriate knowledge for decision making. To tackle the same, topic modeling was first applied to Library and Information Science (LIS) theses submitted to Shodhganga (an Indian ETDs digital repository) to determine the five core topics/tags and then the performance of the built model based on those topics/tags were analyzed. Using a Latent Dirichlet Allocation based Topic-Modeling-Toolkit, the five core topics were found to be information literacy, user studies, scientometrics, library resources and library services for the epoch 2013-2017 and consequently all the theses were summarized with the presence of their respective topic proportion for the tags/topics. A Support Vector Machine (Linear) prediction model using RapidMiner toolbox was created and showed 88.78% accuracy with 0.85 kappa value.

Related Papers

Word Digital Libraries

Manika Lamba

The present paper describes the importance and usage of metadata tagging and prediction modeling tools for researchers and librarians. 387 articles were downloaded from DESIDOC Journal of Library and Information Technology (DJLIT) for the period 2008-17. This study was divided into two phases. The first phase determined the core topics from the research articles using Topic-Modeling-Toolkit (TMT), which was based on latent Dirichlet allocation (LDA), whereas the second phase employed prediction analysis using RapidMiner toolbox to annotate the future research articles on the basis of the modeled topics. The core topics (tags) were found to be digital libraries, information literacy, scientometrics , open access, and library resources for the studied period. This study further annotated the scientific articles according to the modeled topics to provide a better searching experience to its users. Sugimoto,Li, Russell, et al. (2011), Figuerola, Marco,and Pinto (2017), and Lamba and Madhusudhan (2018) have performed studies similar to the present paper but with major modifications.

This study presents a method to analyze textual data and applying it to the field of Library and Information Science. This paper subsumes a special case of Latent Dirichlet Allocation and Author-Topic models where each article has one unique author and each author has one unique topic. Topic Modeling Toolkit is used to perform the author-topic modeling. The study further which considers topics and their changes over time by taking into account both the word co-occurrence pattern and time. 393 full-text articles were downloaded from DESIDOC Journal of Library and Information Technology and were analyzed accordingly. 16 core topics have been identified throughout the period of ten years. These core topics can be considered as the core area of research in the journal from 2008 to 2017. This paper further identifies top five authors associated with the representative articles for each studied year. These authors can be treated as the subject-experts for the modeled topics as indicated. ...

Indonesian Journal of Electrical Engineering and Computer Science

Joselyn Zapata Paulini

This work aims at discovering topics in a text corpus and classifying the most relevant terms for each of the discovered topics. The process was performed in four steps: first, document extraction and data processing; second, labeling and training of the data; third, labeling of the unseen data; and fourth, evaluation of the model performance. For processing, a total of 10,322 "curriculum" documents related to data science were collected from the web during 2018-2022. The latent dirichlet allocation (LDA) model was used for the analysis and structure of the subjects. After processing, 12 themes were generated, which allowed ranking the most relevant terms to identify the skills of each of the candidates. This work concludes that candidates interested in data science must have skills in the following topics: first, they must be technical, they must have mastery of structured query language, mastery of programming languages such as R, Python, java, and data management, among...

Library Philosophy and Practice

This study presents a method to analyze textual data and applying it to the field of Library and Information Science. This paper subsumes a special case of Latent Dirichlet Allocation and Author-Topic models where each article has one unique author and each author has one unique topic. Topic Modeling Toolkit is used to perform the author-topic modeling. The study further which considers topics and their changes over time by taking into account both the word co-occurrence pattern and time. 393 full-text articles were downloaded from DESIDOC Journal of Library and Information Technology and were analyzed accordingly. 16 core topics have been identified throughout the period of ten years. These core topics can be considered as the core area of research in the journal from 2008 to 2017. This paper further identifies top five authors associated with the representative articles for each studied year. These authors can be treated as the subject-experts for the modeled topics as indicated. The results of the study can serve as a platform to determine the research trend; core areas of research; and the subject-experts related to those core areas in the field the Library and Information Science in India.

World Digital Libraries

Text mining application is one of the most trending and highly researched areas in social sciences. To date, library professionals’ knowledge of text mining tools and practice is mainly limited, resultantly, the library community poorly understands the full range of issues related to text mining. This article provides information on applying a text mining approach called topic modelling in the library and information science domain. Topic modelling is a text mining approach that determines a generative model for documents. This article maps how topic modelling can be used in libraries through various databases during 2009–22 period. It was found that the gap between information users and librarians can be bridged by text mining training. The study concludes that librarians must develop text mining skills to meet their patrons’ needs.

tapan barui

Manika Lamba , Madhusudhan Margam

This chapter presents a method for analyzing text data called topic modeling and applying it to the field of Library and Information Science. It describes the importance and usage of topic mining for researchers and librarians. An experiment study is also covered which applies topic modeling in a real scenario, where five model topics for the articles published in DESIDOC Journal of Library and Information Technology for the year 2017 using Topic-Modeling-Toolkit and prediction modeling is constructed using RapidMiner toolbox.

ICDL2019: Digital Transformation for an Agile Environment

The information explosion in the form of ETDs poses the challenge of management and extraction of appropriate knowledge for decision making. Thus, the present study forwards a solution to the above problem by applying topic mining and prediction modeling tools to 263 ETDs submitted to the PQDT Global database during 2016-18 in the field of library science. This study was divided into two phases. The first phase determined the core topics from the ETDs using Topic-Modeling-Tool (TMT), which was based on latent dirichlet allocation (LDA), whereas the second phase employed prediction analysis using RapidMiner platform to annotate the future research articles on the basis of the modeled topics. The core topics (tags) for the studied period were found to be book history, school librarian, public library, communicative ecology, and informatics followed by text network and trend analysis on the high probability co-occurred words. Lastly, a prediction model using Support Vector Machine (SVM) classifier was created in order to accurately predict the placement of future ETDs going to be submitted to PQDT Global under the five modeled topics (a to e). The tested dataset against the trained data set for the predictive performed perfectly.

Open Journal of Applied Sciences

Gary Natriello

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Shodhganga: a reservoir of indian theses.

        Theses and dissertations are known to be the rich and unique source of information, often the only source of research work that does not find its way into various publication channels. Theses and dissertations remain an un-tapped and under-utilized asset, leading to unnecessary duplication and repetition that, in effect, is the anti-theses of research and wastage of huge resources, both human and financial.

    The UGC Notification (Minimum Standards & Procedure for Award of M.Phil. / Ph.D Degree, Regulation, 2009) dated 1st June 2009 mandates submission of electronic version of theses and dissertations by the researchers in universities with an aim to facilitate open access to Indian theses and dissertations to the academic community world-wide. Online availability of electronic theses through centrally-maintained digital repositories, not only ensure easy access and archiving of Indian doctoral theses but will also help in raising the standard and quality of research. This would overcome serious problem of duplication of research and poor quality resulting from the “poor visibility” and the “unseen” factor in research output. As per the Regulation, the responsibility of hosting, maintaining and making the digital repository of Indian Electronic Theses and Dissertation (called “ Shodhganga “), accessible to all institutions and universities, is assigned to the INFLIBNET Centre.

    Shodhganga” is the name coined to denote digital repository of Indian Electronic Theses and Dissertations set-up by the INFLIBNET Centre. The word “Shodh” originates from Sanskrit and stands for research and discovery. The “Ganga” is the holiest, largest and longest of all rivers in Indian subcontinent. The Ganga is the symbol of India’s age-long culture and civilisation, everchanging, ever-flowing, ever-loved and revered by its people, and has held India’s heart captive and drawn uncounted millions to her banks since the dawn of history. Shodhganga stands for the reservoir of Indian intellectual output stored in a repository hosted and maintained by the INFLIBNET Centre.

  The Shodhganga@INFLIBNET is set-up using an open source digital repository software called DSpace developed by MIT (Massachusetts Institute of Technology) in partnership between Hewlett- Packard (HP). The DSpace uses internationally recognized protocols and interoperability standards. Shodhganga provides a platform for research scholars to deposit their Ph.D. theses and make it available to the entire scholarly community in open access. The repository has the ability to capture, index, store, disseminate and preserve ETDs (Electronic Theses and Dissertations) submitted by the researchers.

   DSpace supports “Open Archives Initiative’s Protocol for Metadata Harvesting” (OAI-PMH) and uses a qualified version of the Dublin Core schema for its metadata. The INFLIBNET Centre, promotes setting-up of institutional and ETD repositories in member universities using OAI-PMH complaint software. A number of member universities have already set-up their institutional and ETD repositories using either DSpace or other OAI-PMH compliant Institutional Repository software. It would be possible for universities having sufficient network and computing infrastructure to maintain their own ETD repositories wherein their research scholars could deposit e-versions of their theses and dissertations. Moreover, they can use Shodhganga to host their theses as backup archives. INFLIBNET Centre, besides maintaining the Central ETD Repository (Shodhganga) would also deploy a central server to harvest the metadata from all such ETD repositories distributed in universities with an aim to provided unified access to theses and dissertations through its harvesting server.

   Shodhganga replicates academic structure of each University in terms of Departments/ Centres/ Colleges each University has to facilitate ease of navigation. This structure facilitates research scholars from universities to deposit their theses in the respective Department / Centre / College. As shown in the Fig 1, option for simple search and advance search are available on the home page along with browsing facility through universities and departments. The Centre is also developing a semantic web-based interface to facilitate subject-based browsing, navigation, search and retrieval of content available in the repository.

Source & Original Link : Shodhganga

The Indian Librarian Blog

19 june 2019, shodh ganga : a reservoir of indian theses.

  Shodhganga home page

No comments:, post a comment, lis notes for copmpetitive examination - 37:books and authors in lis.

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