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 Faculty Publications 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/. Creator An entity primarily responsible for making the resource Arunmozhi, M.; Sunitha, R.; Rajalakshmi, D.; Mohan E, Syam Title A name given to the resource MADTRAS: Dataset for aspect-based sentiment analysis of movie reviews in Tamil Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Data in Brief;Volume;63;Issue;;Article No.;112073; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.dib.2025.112073" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.dib.2025.112073</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105017782327?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105017782327?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Arunmozhi M., Department of Computer Science, Pondicherry University, Puducherry, Kalapet, 605014, India; Sunitha R., Department of Computer Science, Pondicherry University, Puducherry, Kalapet, 605014, India; Rajalakshmi D., Department of Computer Science, Pondicherry University, Puducherry, Kalapet, 605014, India; Mohan E S., Department of Computer Science, Pondicherry University, Puducherry, Kalapet, 605014, India, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India Description An account of the resource The rise of online platforms has led to a growing trend of people expressing their thoughts and emotions in their native languages. Movies have been a predominant topic of discussion on online platforms where people reflect on various aspects of movies. Aspect-based Sentiment Analysis (ABSA), a computational technique, assists in examining the sentiments hidden in these discussions. Two challenges arise when attempting to use ABSA to identify sentiments in movie reviews written in the Indian regional language Tamil; the former being the unavailability of potential Tamil movie review datasets and the latter being the difficulty that arises due to the agglutinative nature of Tamil Language. This work addresses the first challenge by curating an annotated movie review dataset in Tamil, MADTRAS (Dataset for Aspect-based Sentiment Analysis of Movie Reviews in Tamil). The quality of the dataset is ensured through content and annotation evaluation. To prove the efficiency of the dataset, the multilingual BERT (mBERT) was used, and the performance was compared with other Deep Learning(DL) models. 2025 The Authors Subject The topic of the resource ABSA; Correlation; Data curation; mBERT; Transformers Publisher An entity responsible for making the resource available Elsevier Inc. Relation A related resource ISSN: 23523409; Language A language of the resource English Type The nature or genre of the resource Data paper Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Format The file format, physical medium, or dimensions of the resource online