Open Access. Powered by Scholars. Published by Universities.®
Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Social and Behavioral Sciences
A Fine-Grained Sentiment Analysis Of Online Guest Reviews Of Economy Hotels In China, Jiaqi Luo, Songshan Huang, Renwu Wang
A Fine-Grained Sentiment Analysis Of Online Guest Reviews Of Economy Hotels In China, Jiaqi Luo, Songshan Huang, Renwu Wang
Research outputs 2014 to 2021
© 2020, © 2020 Taylor & Francis Group, LLC. This study aims to investigate the experiences of Chinese economy hotel guests by applying deep learning fine-grained sentiment analysis on 363,723 Chinese-text online reviews. Findings reveal that location is the domain that most of the positive sentiments are associated, followed by facilities, service, price, image, and reservation experience. Prominent features with negative sentiments include sound insulation, air conditioning, beddings, windows, toilets, TV sets, WiFi signals, towels, elevators, hair dryers, slippers, toilet bowls, return cash, invoices. Positive and negative sentiments are compared. This research offers an alternative approach and a more comprehensive …
Architectural Heritage Images Classification Using Deep Learning With Cnn, Mohammed Hamzah Abed, Muntasir Al-Asfoor, Zahir M. Hussain
Architectural Heritage Images Classification Using Deep Learning With Cnn, Mohammed Hamzah Abed, Muntasir Al-Asfoor, Zahir M. Hussain
Research outputs 2014 to 2021
© 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). Digital documentation of cultural heritage images has emerged as an important topic in data analysis. Increasing the size and number of images to be processed making the task of categorizing them a challenging task and may take an inordinate amount of time. This research paper proposes a solution to the mentioned challenges by classifying the subject of the image of the study using Convolutional Neural Network. Classification of available images leads to improve the management of the images dataset and …