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All Journal CESS (Journal of Computer Engineering, System and Science) Sinkron : Jurnal dan Penelitian Teknik Informatika INTECOMS: Journal of Information Technology and Computer Science METIK JURNAL Systematics Buana Information Technology and Computer Sciences (BIT and CS) Abdimas Jurnal Komtekinfo Jurnal Buana Pengabdian Malcom: Indonesian Journal of Machine Learning and Computer Science Innovative: Journal Of Social Science Research VISA: Journal of Vision and Ideas INTERNAL (Information System Journal) CSRID
Baenil Huda
Universitas Buana Perjuangan Karawang
Religion Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Medicine & Pharmacology Public Health Social Sciences Other

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Journal : Sinkron : Jurnal dan Penelitian Teknik Informatika

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Sentiment Analysis of Twitter User Opinions Related to Metaverse Technology Using Lexicon Based Method Wahyu Azriel Akbari; Tukino Tukino; Baenil Huda; Muhamad Muslih
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 1 (2023): Articles Research Volume 8 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.11992

Abstract

The technology of the metaverse has been a topic of discussion in the tech sector recently, and the implementation of the metaverse in the future is one of the most anticipated things for internet users around the world, allowing users to become the avatar they want in the virtual universe. To see how someone approaches metaverse technology, we can analyze it by looking at various opinions that emerge from the sentiment of internet users, one of which is from the social media Twitter. This study aims to analyze the sentiment of Twitter users' opinions, which is one of the most popular internet social media platforms. The researcher collects tweet data using the snscrape library in the Python programming language, a tool for mass data collection from Twitter. Then, the analysis of the sentiment of Twitter user opinions is carried out using the Lexicon Based method, which is a method that uses a dictionary of words to categorize the sentiment of a text. The results of this study show that the Lexicon Based method can classify the sentiment of Twitter user opinions related to metaverse technology with an accuracy value of 84%. This shows that the results of sentiment analysis using the Lexicon Based method have a good level of accuracy in performance in analyzing the sentiment of Twitter user opinions related to metaverse technology.
Co-Authors Abdu Al Azis Abdul Muhyiddin Agid Pratama Putra Agustia Hananto Almah April Lia Hananto Arini Saputri Asshyddiqie Ivan Triaji Aurel Adhitya Anwar Ayu Maspupah Cindy Aprilia Citra Dewi Deden Renhad Sudrajat Edi Junaedi Eko Pramono Elanda, Anggi Elisa Nathania Halim Fitri Nurapriani Fitria Nurapriani Helga Amanda Hidayatul Rahman Kasuma Huban Kabir Indra Ferdiansyah Isfa Nurfaiza Muhamad Djaka Permana Muhamad Rizky Arfani Muhammad Khaerudin Muslih, Muhamad Nabilah Fath Thurahmah Novalia, Elfina Priyatna, Bayu Rendi Cahya Herliana Rian Pratama Ruliansyah Ruliansyah Saepul Aripiyanto Seia Piantara Shofa Shofia Hilabi Shofa Shofiah Hilabi Shofa Sofiah Hilabi Silvi Widianti Tukino Wahyu Azriel Akbari Yuli Muliawati