TY  - JOUR
TI  - Aspect Based Opinion Mining on Hotel Reviews
AB  - 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.
AU  - Demir, Yunus Emre
AU  - ELBIR, AHMET
AU  - Diri, Banu
AU  - Durmaz, Semih
AU  - SIGIRCI, IBRAHIM ONUR
DO  - 10.7240/jeps.896515
PY  - 2021
JO  - International journal of advances in engineering and pure sciences (Online)
VL  - 33
IS  - 0
SN  - 2636-8277
SP  - 28
EP  - 34
DB  - TRDizin
UR  - http://search/yayin/detay/514996
ER  -