Nathaniel, Wilbert (2020) Analisis pendeteksian komentar sarkastis pada YouTube Mata Najwa menggunakan Naive Bayes dan Natural Language Processing = Analysis of detecting sarcastic comments on Mata Najwa's YouTube using Naive Bayes and Natural Language Processing. Bachelor thesis, Universitas Pelita Harapan.
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Abstract
Komentar dalam Youtube memberikan berbagai pesan kepada pemilik konten mengenai bagaimana video mereka mempengaruhi para penontonnya. Namun, beberapa komentar ini memiliki maksud untuk menyampaikan pesan-pesan yang tidak bertuju terhadap konten utama dari video tersebut. Apalagi, sebuah pernyataan sarkasme yang memiliki unsur menyesatkan dapat mengubah sebuah percakapan menjadi sebuah komentar kebencian. Tujuan dari penelitian ini adalah menyajikan sebuah metode sederhana untuk mengidentifikasi sarkasme dalam komentar di video YouTube, yang memungkinkan pemilik video atau creator dapat mengidentifikasi dan menghapus atau menghilangkan beberapa komentar yang mungkin menimbulkan kebencian antara penonton. Untuk mengidentifikasi komentar sarkasme, metode Naive Bayes akan digunakan untuk mencari tahu pernyataan mana yang mungkin memiliki unsur sarkasme. Pendekatan ini, secara khusus, dirancang untuk mendeteksi dan menampilkan unsur kata atau pernyataan sarkastik dalam Bahasa Indonesia. Hasil dari percobaannya menunjukkan bahwa Naive Bayes telah 79% berhasil dilakukan, dengan akurasi 0,802, presisi 1.0 dan ingat 0,651. / Comments on Youtube media provides feedback to the content owner of how their video influence audience. However, some comments have intention to convey readers not to the original goals of the video content. Moreover, the sarcasm statements may also provide misleading that possibly put the conversation into a hatred comments. The objective from this research is to present a simple method to identify sarcasm within comments in a YouTube video channel, which enable the channel or video owner or creator to identify and remove or eliminate some comments that may rise hatred between the audience. To identify sarcasm comments, The Naive Bayes will be used to find out which statements may have sarcasm elements. The result is showing the process of detection using Naive Bayes is 79% succeeded, with accuracy 0,802, precision 1.0 and recall 0,651.
Item Type: | Thesis (Bachelor) |
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Creators: | Creators NIM Email ORCID Nathaniel, Wilbert NIM00000019924 wilbert.wij@gmail.com UNSPECIFIED |
Contributors: | Contribution Contributors NIDN/NIDK Email Thesis advisor Murwantara, I Made NIDN0302057304 UNSPECIFIED Thesis advisor Mitra, Aditya Rama NIDN0305096901 UNSPECIFIED |
Additional Information: | SK 82-16 NAT a |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | University Subject > Current > Faculty/School - UPH Karawaci > School of Information Science and Technology > Informatics Current > Faculty/School - UPH Karawaci > School of Information Science and Technology > Informatics |
Depositing User: | Users 2777 not found. |
Date Deposited: | 20 Feb 2020 05:55 |
Last Modified: | 28 Sep 2021 07:46 |
URI: | http://repository.uph.edu/id/eprint/7464 |