Sentiment Analysis of Visitors in Borobudur Temple With Support Vector Machine Based on TripAdvisor Review
Edy Widodo, Gifa Delyani Nursyafitri, Ocktavia Nurima Putri, Yesih Nurmalasari
Available Online 11 October 2020.
- https://doi.org/10.2991/assehr.k.201010.009How to use a DOI?
- TripAdvisor, Sentiment Analysis, Support Vector Machine
- 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.
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 -