{"title":"梅瓦里诗的特征鉴定","authors":"Shubham Jain, Kamlesh Dutta","doi":"10.1109/ISCON57294.2023.10112199","DOIUrl":null,"url":null,"abstract":"Poetry is a type of literature that is used to convey a man’s feeling, sentiments and imaginations. It is formed by a beautiful amalgamation of thoughts and notions in the form of words and tones. Mewari in particular is a major dialect of the Rajasthani language and is spoken by a vast majority of population in the Mewar region. It possess a great importance because many literature works created in Mewari glorifies about the great kings like Maharana Pratap, Maharana Kumbha, etc. Thus the cultural significance of this language increases exponentially. Despite having this huge significance very little work has been done in the field of Mewari language in the field of Natural Language Processing, be it identification, classification or extraction. Like Hindi, the Mewari language is written in Devanagari lipi. This paper aims to identify various elements of a Mewari literature like rhymic extent, negative tone, mood and number of a poem. The idea is to extract the data and match it with various parameters to find the hidden elements. Although, decent amount of work has been done in the field of poetry classification and analysis in different languages but this will be the first work being done on Mewari dialect. Various preprocessing operations were performed and it successfully predicted the Rhyme, Negative Tone, Mood and Number with accuracy of 83.75, 90,70 and 70.7 percentage respectively.","PeriodicalId":280183,"journal":{"name":"2023 6th International Conference on Information Systems and Computer Networks (ISCON)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Identification of Characteristics of Mewari Poems\",\"authors\":\"Shubham Jain, Kamlesh Dutta\",\"doi\":\"10.1109/ISCON57294.2023.10112199\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Poetry is a type of literature that is used to convey a man’s feeling, sentiments and imaginations. It is formed by a beautiful amalgamation of thoughts and notions in the form of words and tones. Mewari in particular is a major dialect of the Rajasthani language and is spoken by a vast majority of population in the Mewar region. It possess a great importance because many literature works created in Mewari glorifies about the great kings like Maharana Pratap, Maharana Kumbha, etc. Thus the cultural significance of this language increases exponentially. Despite having this huge significance very little work has been done in the field of Mewari language in the field of Natural Language Processing, be it identification, classification or extraction. Like Hindi, the Mewari language is written in Devanagari lipi. This paper aims to identify various elements of a Mewari literature like rhymic extent, negative tone, mood and number of a poem. The idea is to extract the data and match it with various parameters to find the hidden elements. Although, decent amount of work has been done in the field of poetry classification and analysis in different languages but this will be the first work being done on Mewari dialect. Various preprocessing operations were performed and it successfully predicted the Rhyme, Negative Tone, Mood and Number with accuracy of 83.75, 90,70 and 70.7 percentage respectively.\",\"PeriodicalId\":280183,\"journal\":{\"name\":\"2023 6th International Conference on Information Systems and Computer Networks (ISCON)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 6th International Conference on Information Systems and Computer Networks (ISCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCON57294.2023.10112199\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 6th International Conference on Information Systems and Computer Networks (ISCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCON57294.2023.10112199","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Poetry is a type of literature that is used to convey a man’s feeling, sentiments and imaginations. It is formed by a beautiful amalgamation of thoughts and notions in the form of words and tones. Mewari in particular is a major dialect of the Rajasthani language and is spoken by a vast majority of population in the Mewar region. It possess a great importance because many literature works created in Mewari glorifies about the great kings like Maharana Pratap, Maharana Kumbha, etc. Thus the cultural significance of this language increases exponentially. Despite having this huge significance very little work has been done in the field of Mewari language in the field of Natural Language Processing, be it identification, classification or extraction. Like Hindi, the Mewari language is written in Devanagari lipi. This paper aims to identify various elements of a Mewari literature like rhymic extent, negative tone, mood and number of a poem. The idea is to extract the data and match it with various parameters to find the hidden elements. Although, decent amount of work has been done in the field of poetry classification and analysis in different languages but this will be the first work being done on Mewari dialect. Various preprocessing operations were performed and it successfully predicted the Rhyme, Negative Tone, Mood and Number with accuracy of 83.75, 90,70 and 70.7 percentage respectively.