Performance Analysis of Deep Approaches on Airbnb Sentiment Reviews

Conference paper


Raza, Muhammad Raheel, Hussain, Walayat and Varol, Asaf. (2022). Performance Analysis of Deep Approaches on Airbnb Sentiment Reviews. 10th International Symposium on Digital Forensics and Security (ISDFS). Istanbul, Turkey 06 - 07 Jun 2022 Turkey: IEEE Xplore. pp. 229-233 https://doi.org/10.1109/ISDFS55398.2022.9800816
AuthorsRaza, Muhammad Raheel, Hussain, Walayat and Varol, Asaf
TypeConference paper
Abstract

Consumer reviews in the Airbnb marketplace are one of the key attributes to measure the quality of services and the main determinant of consumer rentals decisions. Such feedback can impact both a new and repeated consumer's choice decision. The way to manage poor reviews can help to save or damage the host's reputation. Sentiment analysis enables an Airbnb host to get an insight into the business, pinpoint degradation of the specific component of compound services and assist in managing it proactively. Multiple Deep Learning algorithms have been used for Natural Language Processing (NLP). For optimal sentiment management in the Airbnb marketplace, it is crucial to identify the right algorithm. The paper uses multiple Deep Learning algorithms to identify different aspects of guest reviews and analyze their accuracies. The paper uses four accuracy measurement benchmarks – Precision, Recall, F1-score and Support to analyze results. The analysis shows that the GRU method achieves the best results with the highest classification metrics values as compared to RNN and LSTM.

KeywordsDeep learning; Measurement; Degradation; Sentiment analysis; Digital forensics; Quality of service; Classification algorithms
Year01 Jan 2022
PublisherIEEE Xplore
Digital Object Identifier (DOI)https://doi.org/10.1109/ISDFS55398.2022.9800816
Web address (URL)https://ieeexplore.ieee.org/document/9800816/
Open accessPublished as non-open access
Research or scholarlyResearch
Publisher's version
License
All rights reserved
File Access Level
Controlled
Page range229-233
Web address (URL) of conference proceedingshttps://ieeexplore.ieee.org/xpl/conhome/9800750/proceeding
Output statusPublished
Publication dates
Print07 Jun 2022
Publication process dates
Accepted19 Feb 2024
Deposited27 Feb 2024
Additional information

© 2022 IEEE.

Place of publicationTurkey
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