Topic Modeling and its Application in Research: A Review of Specialized Literature

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Zarmehr Fateme; Mansouri Ali; Karshenas Hosein

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Library and Information Science Research Year:2021 | Volume: | Issue: Page(s): 23-39

Download Full-Text

Persian Verion

View:

Download:

Cites:

Information Journal Paper

Title

Topic Modeling and its Application in Research: A Review of Specialized Literature

Author(s)

Zarmehr Fateme | Mansouri Ali | Karshenas Hosein | Issue Writer Certificate

Keywords

Text miningQ4

Topic ModelingQ4

Subject DiscoveryQ4

Information OrganizationQ4

Subject DiagnosisQ4

Subject AllocationQ4

Abstract

Introduction: Topic Modeling is one of the Text mining techniques that allows you to discover unknown topics in a collection of documents, interpret documents based on these topics, and use these interpretations to organize, summarize, and search for texts automatically. Familiarity with the concept and technique of Topic Modeling, and its application in discovering topics and organizing information is one of the main goals of this research.Methodology: The present study is a review-analytical type in which, while introducing Topic Modeling, it has categorized and reviewed the applications of this technique based on its performance and provided a sample of research that has used this technique.Findings: Topic Modeling algorithms is used not only in addition to the three main objectives of discovering hidden topics, interpreting documents based on topics, and finally organizing and classifying texts, but also is used in discovering hidden topics and relationships in the fields of science, information retrieval, categorizing documents based on topics, discovering outstanding patterns and emerging events, clustering the concepts of scientific fields, analyzing the course of conceptual evolution during historical periods, determining the hierarchical relationships of concepts. A specific scientific field or field and vocabulary enrichment.Conclusion: Topic Modeling based on machine learning and artificial intelligence knowledge has been proposed as one of the new approaches to organizing information resources and serious studies are being conducted in this field. Therefore, by using Topic Modeling algorithms in order to automate the extraction of the subject and discover the hidden issues in the source, it is possible to strengthen and update the new systems of organizing information resources.

Cites

No record.

References

No record.

Cite

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops