Aspect Based Opinion Mining on Hotel Reviews

Yunus Emre DEMİR; Semih DURMAZ; Ahmet ELBİR; İbrahim Onur SIĞIRCI; Banu DİRİ

doi:https://doi.org/10.7240/jeps.896515

Makale detayları

Aspect Based Opinion Mining on Hotel Reviews

Yazarlar:

Yunus Emre DEMİR | Semih DURMAZ | Ahmet ELBİR | İbrahim Onur SIĞIRCI | Banu DİRİ

Yayıncı:

Marmara University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

International Journal of Advances in Engineering and Pure Sciences 2021 Vol.33, pp.28-34

Belge Tipi:

Makale

Yayın Tarihi:

12/2021

Belge Dili:

İngilizce

Document ID (Org No.):

2000473872

Sıklık:

Üç Aylık

eISSN:

2636-8277

DOI:

https://doi.org/10.7240/jeps.896515

Özet:

 

Users often use online reviews to assess the quality of hotels according to their various attributes. In this study, a sentiment
analysis of online reviews has been conducted using 11 predetermined attributes pertaining to hotels. Using this analysis, users’
overall assessments of hotels have been determined and summarized from reviews left for a group of various hotels. To identify
words with similar meanings to the 11 predetermined hotel attributes, the Word2Vec method has been employed. Additionally,
the FastText method has been used to detect words containing spelling errors. The sentiment analysis of the comments has
been made by using three different methods belonging to two different approaches. These methods are: VADER method as
dictionary-based approach, BERT and RoBERTa as machine learning approaches. Using these methods, the reviews have been
evaluated in three categories as positive, negative, and neutral, and the quality score has been calculated. In addition, a software
with a user-friendly graphical interface has been implemented in an effort to easily use all the methods used in this study.

 

Users often use online reviews to assess the quality of hotels according to their various attributes. In this study, a sentiment analysis of online reviews has been conducted using 11 predetermined attributes pertaining to hotels. Using this analysis, users’ overall assessments of hotels have been determined and summarized from reviews left for a group of various hotels. To identify words with similar meanings to the 11 predetermined hotel attributes, the Word2Vec method has been employed. Additionally, the FastText method has been used to detect words containing spelling errors. The sentiment analysis of the comments has been made by using three different methods belonging to two different approaches. These methods are: VADER method as dictionary-based approach, BERT and RoBERTa as machine learning approaches. Using these methods, the reviews have been evaluated in three categories as positive, negative, and neutral, and the quality score has been calculated. In addition, a software with a user-friendly graphical interface has been implemented in an effort to easily use all the methods used in this study.

Makale detayları

Aspect Based Opinion Mining on Hotel Reviews

Yazarlar: Yunus Emre DEMİR | Semih DURMAZ | Ahmet ELBİR | İbrahim Onur SIĞIRCI | Banu DİRİ

Yayıncı: Marmara University

Ana Başlıklar: Uygulamalı fizik

Dergi: International Journal of Advances in Engineering and Pure Sciences 2021 Vol.33, pp.28-34

Belge Tipi: Makale

Yayın Tarihi: 12/2021

Belge Dili: İngilizce

Document ID (Org No.): 2000473872

Sıklık: Üç Aylık

eISSN: 2636-8277

DOI: https://doi.org/10.7240/jeps.896515

Sayı

Yazarlar:

Yunus Emre DEMİR | Semih DURMAZ | Ahmet ELBİR | İbrahim Onur SIĞIRCI | Banu DİRİ

Yayıncı:

Marmara University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

International Journal of Advances in Engineering and Pure Sciences 2021 Vol.33, pp.28-34

Belge Tipi:

Makale

Yayın Tarihi:

12/2021

Belge Dili:

İngilizce

Document ID (Org No.):

2000473872

Sıklık:

Üç Aylık

eISSN:

2636-8277

DOI:

https://doi.org/10.7240/jeps.896515