DAFTAR PUSTAKA
Ahmad, Ali, and Windu Gata. 2022. ―Sentimen Analisis Masyarakat Indonesia Di Twitter Terkait Metaverse Dengan Algoritma Support vector machine.‖
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Aji Prasetya Wibawa, Muhammad Guntur Aji Purnama, Muhammad Fathony Akbar, Felix Andika Dwiyanto. 2018. ―Metode-Metode Klasifikasi.‖
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Arsi, Primandani, and Retno Waluyo. 2021. ―Analisis Sentimen Wacana Pemindahan Ibu Kota Indonesia Menggunakan Algoritma Support vector machine (SVM).‖ Jurnal Teknologi Informasi Dan Ilmu Komputer 8 (1): 147.
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Azhari, Mulkan, Zakaria Situmorang, and Rika Rosnelly. 2021. ―Perbandingan Akurasi, Recall, Dan Presisi Klasifikasi Pada Algoritma C4.5, Random Forest, SVM Dan Naive Bayes.‖ Jurnal Media Informatika Budidarma 5 (2):
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Bach, Mirjana Pejič, Živko Krstič, Sanja Seljan, and Lejla Turulja. 2019. ―Text Mining for Big Data Analysis in Financial Sector: A Literature Review.‖
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Buslim, Nurhayati, Busman Busman, Nadika Sigit Sinatrya, and Tifani Shallynda Kania. 2018. ―Analisa Sentimen Menggunakan Data Twitter, Flume, Hive Pada Hadoop Dan Java Untuk Deteksi Kemacetan Di Jakarta.‖ Jurnal Online Informatika 3 (1): 1. https://doi.org/10.15575/join.v3i1.141.
Cahyani, Laili, and Muchamad Arif. 2022. ―Text Mining Untuk Pengelompokan Skripsi Di Prodi Pendidikan Informatika Universitas Trunojoyo Madura.‖
Jurnal Ilmiah Edutic : Pendidikan Dan Informatika 8 (2): 97–108.
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Djaballah, Kamel Ahsene, Kamel Boukhalfa, and Omar Boussaid. 2019.
―Sentiment Analysis of Twitter Messages Using Word2Vec by Weighted Average.‖ 2019 6th International Conference on Social Networks Analysis, Management and Security, SNAMS 2019, no. August 2021: 223–28.
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Girvan, Carina. 2018. ―What Is a Virtual World? Definition and Classification.‖
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Hendrastuty, Nirwana, Auliya Rahman Isnain, Ari Yanti Rahmadhani, Program Studi, Sistem Informasi, Universitas Teknokrat Indonesia, Program Studi Informatika, Universitas Teknokrat Indonesia, and Kota Bandar Lampung.
2021. ―Analisis Sentimen Masyarakat Terhadap Program Kartu Prakerja Pada Twitter Dengan Metode Support vector machine‖ 6 (3): 150–55.
Hidayat, Tezza Fazar Tri, Garno Garno, and Azhari Ali Ridha. 2021. ―Analisis Sentimen Opini Pemindahan Ibu Kota Pada Twitter Dengan Metode Support
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Huang, Ta Ko, Chi Hsun Yang, Yu Hsin Hsieh, Jen Chyan Wang, and Chun Cheng Hung. 2018. ―Augmented Reality (AR) and Virtual Reality (VR) Applied in Dentistry.‖ Kaohsiung Journal of Medical Sciences 34 (4): 243–
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Ii, B A B, and Landasan Teori. 2019. ―BAB II LANDASAN TEORI 2.1 Semantic Similarity,‖ 6–9.
Indarta, Yose, Ambiyar Ambiyar, Agariadne Dwinggo Samala, and Ronal Watrianthos. 2022. ―Metaverse: Tantangan Dan Peluang Dalam Pendidikan.‖
Jurnal Basicedu 6 (3): 3351–63.
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Istifani, Alvisha Farrasita, and Sholiq. 2018. ―Inspirasi Profesional Sistem Informasi.‖ Jurnal Sisfo 07 (02): 165-180 Sistem.
Khomsah, Siti. 2021. ―Sentiment Analysis On YouTube Comments Using Word2Vec and Random Forest.‖ Telematika 18 (1): 61.
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Komputer, Jurnal Sains, Neng Resti Wardani, Sudin Saepudin, Cecep Warman, Teknologi Informasi, Dan Komputer, Universitas Nusa Putra, and Random Forest. 2022. ―Sentimen Analisis Kegiatan Trading Pada Ap- Likasi Twitter Dengan Algoritma SVM , KNN Dan Random Forrest‖ 6 (September): 863–
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Li, Heidi Oi Yee, Adrian Bailey, David Huynh, and James Chan. 2020. ―YouTube as a Source of Information on COVID-19: A Pandemic of Misinformation?‖
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Ningrum, Herlina Catur Sulistya. 2018. ―Perbandingan Metode Support vector machine (SVM) Linear, Radial Basis Function (RBF), Dan Polinomial Kernel Dalam Klasifikasi Bidang Studi Lanjut Pilihan Alumni UII [Skripsi].‖
Tugas Akhir Statistika Universitas Islam Indonesia, 1–90.
Nuraliza, Hilda, Oktariani Nurul Pratiwi, and Faqih Hamami. 2022. ―Analisis Sentimen IMBd Film Review Dataset Menggunakan Support vector machine (SVM) Dan Seleksi Feature Importance.‖ Jurnal Mirai Manajemen 7 (1): 1–
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Nurdin, Arliyanti, Bernadus Anggo Seno Aji, Anugrayani Bustamin, and Zaenal Abidin. 2020. ―Perbandingan Kinerja Word Embedding Word2Vec , Glove ,.‖ Jurnal TEKNOKOMPAK 14 (2): 74–79.
Puspitawati, Titin Eka, Setio Basuki, Vinna Rahmayanti, and Setyaning Nastiti.
2021. ―Algoritma Support vector machine ( SVM ) Untuk Identifikasi Komponen Abstrak Pada Jurnal Ilmiah Berbasis Teknik Klasifikasi‖ 3 (5):
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Rusli, Muhammad, Mohammad Reza Faisal, Irwan Budiman, Radityo Adi Nugroho, Andi Farmadi, and Kalimantan Selatan. 2020. ―EKSTRAKSI FITUR MENGGUNAKAN MODEL WORD2VEC PADA SENTIMENT ANALYSIS KOLOM KOMENTAR KUISIONER EVALUASI DOSEN OLEH‖ 07 (1): 35–47.
Saputra, Pramana Yoga, Dian Hanifudin Subhi, and Fahmi Zain Afif Winatama.
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Schwemmer, Carsten, and Sandra Ziewiecki. 2018. ―Social Media Sellout: The Increasing Role of Product Promotion on YouTube.‖ Social Media and Society 4 (3). https://doi.org/10.1177/2056305118786720.
Sopiandi, Ii, and Deffy Susanti. 2022. ―Menganalisis Informasi Metaverse Pada Game Online Roblox Secara Garis Besar.‖ Jurnal PETISI 3 (1): 1–4.
Styawati, Andi Nurkholis, Zaenal Abidin, and Heni Sulistiani. 2021. ―Optimasi Parameter Support vector machine Berbasis Algoritma Firefly Pada Data Opini Film.‖ Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi) 5 (5): 904–10. https://doi.org/10.29207/resti.v5i5.3380.
Styawati, Styawati, and Khabib Mustofa. 2019. ―A Support vector machine- Firefly Algorithm for Movie Opinion Data Classification.‖ IJCCS (Indonesian Journal of Computing and Cybernetics Systems) 13 (3): 219.
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Surya, Yusuf, Said Al Faraby, and Mahendra Dwifebri. 2021. ―Analisis Sentimen Terhadap Ulasan Film Menggunakan Word2Vec Dan SVM.‖ EProceedings of Engineering 8 (4): 4136–44.
Telkom, Pelayanan, and D A N Biznet. 2019. ―IMPLEMENTASI SUPPORT VECTOR MACHINE UNTUK ANALISIS SENTIMEN PENGGUNA
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Wang, Fei Yue, Rui Qin, Xiao Wang, and Bin Hu. 2022. ―MetaSocieties in Metaverse: MetaEconomics and MetaManagement for MetaEnterprises and MetaCities.‖ IEEE Transactions on Computational Social Systems 9 (1): 2–
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Wu, Lingfei, Ian En Hsu Yen, Kun Xu, Fangli Xu, Avinash Balakrishnan, Pin Yu Chen, Pradeep Ravikumar, and Michael J. Witbrock. 2018. ―Word Mover’s Embedding: From Word2Vec to Document Embedding.‖ Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018, 4524–34. https://doi.org/10.18653/v1/d18-1482.