Proceedings of the 2nd International Seminar on Science and Technology (ISSTEC 2019)

Sentiment Analysis of Visitors in Borobudur Temple With Support Vector Machine Based on TripAdvisor Review

Authors
Edy Widodo, Gifa Delyani Nursyafitri, Ocktavia Nurima Putri, Yesih Nurmalasari
Corresponding Author
Edy Widodo
Available Online 11 October 2020.
DOI
https://doi.org/10.2991/assehr.k.201010.009How to use a DOI?
Keywords
TripAdvisor, Sentiment Analysis, Support Vector Machine
Abstract
The number of online sites in Indonesia has recently experienced significant growth, both in tourism and other sectors. Borobudur Temple is one of the most well-preserved tourist attractions that is frequently visited by domestic as well as foreign tourist. TripAdvisor is a platform of an online forum that provides anyone to share information related to travel where enormous reviews in daily are posted. Tourists can read the accumulated opinions as a consideration for their travel plans. In this paper, we aim to analyze the English reviews with sentiment analysis by identifying and categorizing opinions as generally positive, negative, or neutral. Data used in this paper is a set of online reviews from TripAdvisor from December 29, 2017, to May 12, 2019. Data were analyzed using Support Vector Machine (SVM) classification methods. The result of each category shows that there are 305 positive reviews, 60 neutral reviews and the rest 36 are negative reviews. The accuracy performed by the SVM model is 100% that has been tested with 401 testing data and trained by 247 data.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
The 2nd International Seminar on Science and Technology (ISSTEC 2019)
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
11 October 2020
ISBN
978-94-6239-168-0
ISSN
2352-5398
DOI
https://doi.org/10.2991/assehr.k.201010.009How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Edy Widodo
AU  - Gifa Delyani Nursyafitri
AU  - Ocktavia Nurima Putri
AU  - Yesih Nurmalasari
PY  - 2020
DA  - 2020/10/11
TI  - Sentiment Analysis of Visitors in Borobudur Temple With Support Vector Machine Based on TripAdvisor Review
BT  - The 2nd International Seminar on Science and Technology (ISSTEC 2019)
PB  - Atlantis Press
SP  - 53
EP  - 56
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201010.009
DO  - https://doi.org/10.2991/assehr.k.201010.009
ID  - Widodo2020
ER  -