CD Skripsi

Analisis Sentimen Pengguna Terhadap Perubahan Aplikasi Twitter Pada Ulasan Google Play Store Menggunakan Indonesian bidirectional Encoder Representations From Transformers (Indobert)

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The changes made by Elon Musk to the Twitter app have triggered various reactions from users around the world, including users in Indonesia. These reactions can be seen in Twitter reviews on the Google Play Store. To understand the reactions given by Indonesian users, it is necessary to conduct sentiment analysis with the IndoBERT model. Sentiment analysis of Twitter changes is used to determine the impact on users. Review data was collected from the period July 24, 2024 to April 30, 2024 using the scrapping method. The data obtained amounted to 15,412 reviews with 3,728 positive reviews, 710 neutral reviews, and 10,974 negative reviews. After that, preprocessing is carried out so that the data becomes clean and can determine the impact experienced by users. The results show that users experience positive impacts such as getting information and news, while negative impacts such as difficulty logging into the application. The IndoBERT model proved to be effective in understanding user sentiment in Indonesian because it produced values with an average accuracy of 0.94, precision of 0.94, recall of 0.94, and f1-score of 0.94.

Keyword: IndoBERT, Sentiment Analysis, Twitter

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

2003125532

Penerbit

Pekanbaru : Universitas Riau FMIPA Sistem Informasi., 2025

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

2003125532

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

SISTEM INFORMASI

Info Detail Spesifik

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Pernyataan Tanggungjawab

Mauli

Versi lain/terkait

Lampiran Berkas

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