02969nas a2200505   4500000000100000008004100001260002600042653002800068653002200096653001400118653001600132653001700148653001700165653002600182653003300208653003400241653002400275653001900299653002100318653002100339653002300360653001000383653004000393653001400433653001900447653002400466653001600490653001600506653001500522653003400537653002100571653002100592653002500613653001800638100002700656700002300683700001700706700003700723245008700760856015400847300001201001490001801013520139001031020004202421                                       d  bIEEE Computer Society10aComputer aided analysis10aComputer software10aData base10aData mining10aDigitisation10aE - learning10aHistoric preservation10aIntangible cultural analytic10aIntangible cultural heritages10aLearning algorithms10aLyric analytic10amachine learning10aMachine-learning10aModeling languages10aMusic10aNatural language processing systems10aSemantics10aSoftware-tools10aSong recommendation10aWork of art10aData mining10aE-learning10aintangible cultural analytics10alyrics analytics10amachine learning10asong recommendations10atext analysis1 aDionisios Sotiropoulos1 aGeorge Tsihrintzis1 aMaria Virvou1 aEnangelia-Aikaterini Tsichrintzi00aMachine Learning in Intangible Cultural Analytics: The Case of Greek Songs  Lyrics  uhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85123921279&doi=10.1109%2fICTAI52525.2021.00050&partnerID=40&md5=46a13c34fe85b97c761282f4531f75f3  a299-3050 v2021-November3 aThe digitization of intangible cultural heritage has given rise to new needs but also great opportunities for the preservation, analysis, education and propagation of cultural items that often constitute vast data bases of sophisticated works of art. This is particular the case of songs that comprise a combination of lyrics and music, each constituting an important domain of art. The preservation and propagation of this kind of art around the world becomes yet harder by taking into account the different languages that this art was originally created in, e.g. English, French, Portuguese Greek, Ancient Greek etc. The aim of this specific research is to develop a software tool that will support computer-aided functions of musical and lyrical analysis. The provision of these particular functions is realized through the integration in the proposed software tool of advanced natural language processing algorithms, text mining and thematic modeling. Therefore, it is an application that proposes the utilization of innovative computational methods of the broader object of Machine Learning and Pattern Recognition for the automated processing, clustering and semantic analysis of textual information. As a case of observation, the automated analysis of a part of the poetic activity of a Greek lyrics-writer is presented with the ultimate goal of promoting the cultural heritage.  a10823409 (ISSN); 9781665408981 (ISBN)