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 Artificial Intelligence based Semantic Text Similarity for RAP Lyrics Subject The topic of the resource bag-of-words; Continuous Bag of Words; natural language processing; Semantic Textual Similarity (STS); Word2Vec Description An account of the resource Data mining is the primary method of gathering large volumes of knowledge. To make use of such data to implementation requires the use of effective machine learning strategies. Semantic Textual Similarity is one of the primary machine learning strategies. At its core, semantic textual similarity is the identification of words with similar context. Initial work in STS involved text reuse, word search among others. The proposed research work uses a specific method of determining textual similarity using Google's Word2Vec framework and the Continuous-bag-of-words algorithm for identifying word similarity in rap records. A large data set consisting of over 50,000 rap records is used. The key aspect of proposed methodology is to determine the words with similar context and cluster them into different word clusters also called bags. To achieve the desired result, the dataset is first processed to obtain the features. Once the features are selected, a model is generated by passing the data onto the Word2Vec framework. The research work on semantic textual similarity was repeated across three different runs, with the data set size changing in every run. At the end of each the accuracy of similarity obtained by the model was determined. The current research work has achieved average accuracy as 85%. 2020 IEEE. Creator An entity primarily responsible for making the resource Chandra J.; Santhanam A.; Joseph A. Source A related resource from which the described resource is derived International Conference on Emerging Trends in Information Technology and Engineering, ic-ETITE 2020 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 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ic-ETITE47903.2020.211" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ic-ETITE47903.2020.211</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085197570&amp;doi=10.1109%2Fic-ETITE47903.2020.211&amp;partnerID=40&amp;md5=fc97b9e98d458d6da14c3c764b712ced" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085197570&amp;doi=10.1109%2fic-ETITE47903.2020.211&amp;partnerID=40&amp;md5=fc97b9e98d458d6da14c3c764b712ced</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-172814142-8 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 Chandra J., CHRIST Deemed to Be University, Department of Computer Science, Banglore, India; Santhanam A., CHRIST Deemed to Be University, Department of Computer Science, Banglore, India; Joseph A., CHRIST Deemed to Be University, Department of Computer Science, Banglore, India