Analisis Dataset Tripadvisor Menggunakan Sentiment Analysis

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

[img]
Preview
Text
1773031_Abstract_TOC.pdf - Accepted Version

Download (198Kb) | Preview
[img]
Preview
Text
1773031_Chapter1.pdf - Accepted Version

Download (42Kb) | Preview
[img] Text
1773031_Chapter2.pdf - Accepted Version
Restricted to Registered users only

Download (106Kb)
[img] Text
1773031_Chapter3.pdf - Accepted Version
Restricted to Registered users only

Download (107Kb)
[img] Text
1773031_Chapter4.pdf - Accepted Version
Restricted to Registered users only

Download (1620Kb)
[img]
Preview
Text
1773031_Conclusion.pdf - Accepted Version

Download (158Kb) | Preview
[img]
Preview
Text
1773031_Cover.pdf - Accepted Version

Download (231Kb) | Preview
[img]
Preview
Text
1773031_References.pdf - Accepted Version

Download (99Kb) | Preview

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

Actions (login required)

View Item View Item