Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Root cause analysis of COVID-19 cases by enhanced text mining process Subject The topic of the resource Dunn index; Feature engineering; Feature hashing; Hierarchical dirichlet process; K-means; Latent dirichlet allocation; Latent semantic analysis Description An account of the resource The main focus of this research is to find the reasons behind the fresh cases of COVID-19 from the publics perception for data specific to India. The analysis is done using machine learning approaches and validating the inferences with medical professionals. The data processing and analysis is accomplished in three steps. First, the dimensionality of the vector space model (VSM) is reduced with improvised feature engineering (FE) process by using a weighted term frequency-inverse document frequency (TF-IDF) and forward scan trigrams (FST) followed by removal of weak features using feature hashing technique. In the second step, an enhanced K-means clustering algorithm is used for grouping, based on the public posts from Twitter. In the last step, latent dirichlet allocation (LDA) is applied for discovering the trigram topics relevant to the reasons behind the increase of fresh COVID-19 cases. The enhanced K-means clustering improved Dunn index value by 18.11% when compared with the traditional K-means method. By incorporating improvised two-step FE process, LDA model improved by 14% in terms of coherence score and by 19% and 15% when compared with latent semantic analysis (LSA) and hierarchical dirichlet process (HDP) respectively thereby resulting in 14 root causes for spike in the disease. 2022 Institute of Advanced Engineering and Science. All rights reserved. Creator An entity primarily responsible for making the resource Kokatnoor S.A.; Krishnan B. Source A related resource from which the described resource is derived International Journal of Electrical and Computer Engineering, Vol-12, No. 2, pp. 1807-1817. Publisher An entity responsible for making the resource available Institute of Advanced Engineering and Science Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.11591/ijece.v12i2.pp1807-1817" target="_blank" rel="noreferrer noopener">https://doi.org/10.11591/ijece.v12i2.pp1807-1817</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122797667&amp;doi=10.11591%2Fijece.v12i2.pp1807-1817&amp;partnerID=40&amp;md5=4e66a598625e7ab8ac376449fdc8c251" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122797667&amp;doi=10.11591%2fijece.v12i2.pp1807-1817&amp;partnerID=40&amp;md5=4e66a598625e7ab8ac376449fdc8c251</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 20888708 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kokatnoor S.A., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, India; Krishnan B., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, India