CD Skripsi

Analisis Sentimen Ulasan Pengguna Terhadap Aplikasi Linkedin Menggunakan Pendekatan Bert

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ABSTRACT
Google play store, one of the largest digital distribution platforms for downloading and uploading developed applications, was the focus of this research aimed at obtaining sentiment analysis results of LinkedIn application users. Sentiment analysis was used to evaluate the response of LinkedIn users and enable developers to improve the quality of LinkedIn applications in the future. User review data was collected through the scraping method and included 4,333 reviews, of which 2,296 were positive, 543 were neutral, and 1,494 were negative. Positive sentiments dominated the proportion of sentiments, at 53%. The model and method used for analysis were the pre-trained BERT model, known as IndoBERT, with average accuracies of 84% in the 80:10:10 variance distribution data.. An evaluation of the model through a confusion matrix yielded an accuracy of 80%, precision of 90%, recall of 84%, and f1-Score of 87%.
Keywords: BERT, Confusion Matrix, IndoBERT, LinkedIn, NLP, Sentimen Analysis

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

1903113172

Penerbit

Pekanbaru : Universitas Riau – FMIPA – Sistem Informasi., 2023

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

1903113172

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

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Versi lain/terkait

Lampiran Berkas

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