SISTEM RATING BERDASARKAN KOMENTAR DENGAN ANALISIS SENTIMEN MENGGUNAKAN ALGORITMA NAÏVE BAYES PADA SITUS TRIPADVISOR

NURANI, NURANI and Heroza, Rahmat Izwan (2020) SISTEM RATING BERDASARKAN KOMENTAR DENGAN ANALISIS SENTIMEN MENGGUNAKAN ALGORITMA NAÏVE BAYES PADA SITUS TRIPADVISOR. Undergraduate thesis, Sriwijaya University.

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Abstract

The use of the internet is familiar to almost all levels of society as a source of data search. Travel websites, for example, which provide services to make it easier for tourists, one of which is the Tripadvisor site. A site that provides a hotel search feature equipped with comments and ratings. The comments given also varied. However, some of the rating scores are not objective based on his comments. For example, there is a comment "Improve the performance of your receptionist, issue an invoice without having to be asked by visitors. Visitors are not all on their own behalf but many also have business purposes and are funded by the office with accountability using the bills given by the hotel. "But the guest gave a rating of 4. The objectivity of the rating value does not show the true situation. By utilizing sentiment analysis using the naïve Bayes algorithm for text classification, a review can be defined as a positive and negative opinion and has a value based on the Lexicon dictionary which will determine the match between the rating value and the comment value.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: komentar, rating, naïve bayes classifier, sentimen analisis, lexicon
Subjects: T Technology > T Technology (General) > T1-995 Technology (General)
Divisions: 09-Faculty of Computer Science > 57201-Information Systems (S1)
Depositing User: Nurani Nurani
Date Deposited: 25 Jan 2021 03:28
Last Modified: 25 Jan 2021 03:28
URI: http://repository.unsri.ac.id/id/eprint/40937

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