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 Conference Papers Conference Paper Faculty Publications- Conference Papers 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 TAMIL- NLP: Roles and Impact of Machine Learning and Deep Learning with Natural Language Processing for Tamil Subject The topic of the resource Deep learning; Machine learning; Morphological analysis; NLP; Parser Description An account of the resource Reading information in your mother tongue gives the feeling of enjoying juice of fruit. Researchers are working on regional languages to provide convenient and perfect automated tools to convert the content of knowledge from other languages. There exist many challenges based on the grammar of language. One of the classic regional languages, Tamil which is rich in Morphology, contains more processing challenges. The Natural Language Processing (NLP) technique along with Machine Learning (ML) and Deep Learning (DL) algorithms have been used to overcome those challenges. The accuracy of work is depending on the corpus provided to train the model. Among the reviewed papers using Support Vector Machine (SVM) of ML produced higher accuracy then other ML techniques. As DL techniques for NLP are booming one the researchers are working with different DL algorithms. Most of the NLP with Review Discussion in this paper will direct the researchers doing NLP in Tamil language to move further and to choose the right Machine Learning and Deep Learning algorithm to come out with accurate outcomes. 2023 IEEE. Creator An entity primarily responsible for making the resource Gokila S.; Rajeswari S.; Deepa S. Source A related resource from which the described resource is derived Proceedings of 8th IEEE International Conference on Science, Technology, Engineering and Mathematics, ICONSTEM 2023 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICONSTEM56934.2023.10142680" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICONSTEM56934.2023.10142680</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163144433&amp;doi=10.1109%2FICONSTEM56934.2023.10142680&amp;partnerID=40&amp;md5=534db1f54a072011da45251d31433066" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163144433&amp;doi=10.1109%2fICONSTEM56934.2023.10142680&amp;partnerID=40&amp;md5=534db1f54a072011da45251d31433066</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835034779-1 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 Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Gokila S., Hindustan Institute of Technology and Science, Department of Computer Applications, Chennai, India; Rajeswari S., Shrimathi DevkunvarNanalal Bhatt Vaishnav College for Women, Pg Department of Computer Science, Chennai, India; Deepa S., Christ University, Department of Computer Science, Bangalore, India