Analisis Dataset Tripadvisor Menggunakan Sentiment Analysis

Assyafah, Haryo Bagas / 1773031 (2021) Analisis Dataset Tripadvisor Menggunakan Sentiment Analysis. Undergraduate thesis, Universitas Kristen Maranatha.

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Abstract

Dalam penelitian ini akan dilakukan analisis sentiment terhadap review dan rating pada dataset yang berasal dari aplikasi Tripadvisor. Ada beberapa tahap untuk melakukan analisis sentiment, diantaranya adalah importing library, collecting dataset, dataset inspection, data preprocessing, training classifier model menggunakan SGD Classifier, Random Forest Classifier, SVM Classifier, KNearest Neighbors Classifier, Naïve Bayes Classifier, Overall Classifier Accuracy, dan juga data visualization. Hasil dari penelitian ini didapatkan bahwa hasil polaritas mendapatkan 73.66% untuk sentiment positive, 15.68% untuk sentiment negative. Kata yang sering keluar pada sentiment postive yaitu seperti “hotel”, “room”, “stay”, “staff”, “great”. . Kata yang sering keluar pada sentiment negative yaitu seperti “hotel”, “room”, “stay”, “service”, “bed”.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: analisis sentiment, dataset, tripadvisor.
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Information Technology > 73 Information Systems Department
Depositing User: Perpustakaan Maranatha
Date Deposited: 14 Oct 2022 08:48
Last Modified: 14 Oct 2022 08:48
URI: http://repository.maranatha.edu/id/eprint/30782

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