Sentiment Analysis on the hotel reviews in the Kazakh language

被引：0

作者：

Yergesh, Banu ^{[1
]}

Bekmanova, Gulmira ^{[1
]}

Sharipbay, Altynbek ^{[1
]}

机构：

[1] LN Gumilyov Eurasian Natl Univ, Astana, Kazakhstan

来源：

2017 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ENGINEERING (UBMK) | 2017年

关键词：

sentiment analysis; Kazakh language; linguistic variables and terms; production rules; morphological rules;

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

We studied the texts in Kazakh and determined the parts of speech that define the text mood. Based on the conducted studies a lot of phrases were identified as determining the mood of the text. The technique of fuzzy inference associated with the estimation of the general level of the hotel state on the basis of the calculated criterion for each aspect is proposed. The criterion is measured in percent and is derived on the basis of fuzzy subjective estimates of the characteristics of the services of the hotel in the Kazakh language.

引用

页码：790 / 794

页数：5

共 50 条

[31] Hotel Rating Prediction System Based on Time Factors: Using Reviews and Sentiment Analysis
Lee, Pei-Hua
Sun, Yu-Kai
Ke, Yin-Pei
Lee, Pei-Ju
JOURNAL OF ORGANIZATIONAL AND END USER COMPUTING, 2024, 36 (01)
[32] Dynamic Measurement and Evaluation of Hotel Customer Satisfaction Through Sentiment Analysis on Online Reviews
Zhou Gang
Liao Chenglin
JOURNAL OF ORGANIZATIONAL AND END USER COMPUTING, 2021, 33 (06)
[33] Predicting hotel reviews from sentiment: a multinomial classification framework
Yucel, Ahmet
Caglar, Musa
Dolatsara, Hamidreza Ahady
George, Benjamin
Dag, Ali
JOURNAL OF MODELLING IN MANAGEMENT, 2022, 17 (02) : 697 - 714
[34] Proposal of LDA-based Sentiment Visualization of Hotel Reviews
Chen, Yu-Sheng
Chen, Lieu-Hen
Takama, Yasufumi
2015 IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOP (ICDMW), 2015, : 687 - 693
[35] Sentiment Analysis of Reviews in Natural Language: Roman Urdu as a Case Study
Qureshi, Muhammad Aasim
Asif, Muhammad
Hassan, Mohd Fadzil
Abid, Adnan
Kamal, Asad
Safdar, Sohail
Akber, Rehan
IEEE ACCESS, 2022, 10 : 24945 - 24954
[36] Leveraging the OPT Large Language Model for Sentiment Analysis of Game Reviews
Viggiato, Markos
Bezemer, Cor-Paul
IEEE TRANSACTIONS ON GAMES, 2024, 16 (02) : 493 - 496
[37] Sentiment Analysis of Movie Reviews in Hindi Language using Machine Learning
Nanda, Charu
Dua, Mohit
Nanda, Garima
PROCEEDINGS OF THE 2018 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION AND SIGNAL PROCESSING (ICCSP), 2018, : 1069 - 1072
[38] Sentiment Analysis for Thai Language in Hotel Domain Using Machine Learning Algorithms
Khamphakdee, Nattawat
Seresangtakul, Pusadee
ACTA INFORMATICA PRAGENSIA, 2021, 10 (02) : 155 - 171
[39] Improvement of sentiment analysis via re-evaluation of objective words in SenticNet for hotel reviews
Chihli Hung
Wan-Rong Wu
Hsien-Ming Chou
Language Resources and Evaluation, 2021, 55 : 585 - 595
[40] Word2Vec for Indonesian Sentiment Analysis towards Hotel Reviews: An Evaluation Study
Nawangsari, Rizka Putri
Kusumaningrum, Retno
Wibowo, Adi
4TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND COMPUTATIONAL INTELLIGENCE (ICCSCI 2019) : ENABLING COLLABORATION TO ESCALATE IMPACT OF RESEARCH RESULTS FOR SOCIETY, 2019, 157 : 360 - 366

← 1 2 3 4 5 →