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The Psychological Effects of Digital Companies’ Employees during the Phase of COVID-19 Pandemic Extracted from Online Employee Reviews
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In: Sustainability; Volume 14; Issue 5; Pages: 2609 (2022)
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Exploring Bidirectional Performance of Hotel Attributes through Online Reviews Based on Sentiment Analysis and Kano-IPA Model
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In: Applied Sciences; Volume 12; Issue 2; Pages: 692 (2022)
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Detection of Chinese Deceptive Reviews Based on Pre-Trained Language Model
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In: Applied Sciences; Volume 12; Issue 7; Pages: 3338 (2022)
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Predicting Institution Outcomes for Inter Partes Review (IPR) Proceedings at the United States Patent Trial & Appeal Board by Deep Learning of Patent Owner Preliminary Response Briefs
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In: Applied Sciences; Volume 12; Issue 7; Pages: 3656 (2022)
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Spam Reviews Detection in the Time of COVID-19 Pandemic: Background, Definitions, Methods and Literature Analysis
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In: Applied Sciences; Volume 12; Issue 7; Pages: 3634 (2022)
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Abstract:
During the recent COVID-19 pandemic, people were forced to stay at home to protect their own and others’ lives. As a result, remote technology is being considered more in all aspects of life. One important example of this is online reviews, where the number of reviews increased promptly in the last two years according to Statista and Rize reports. People started to depend more on these reviews as a result of the mandatory physical distance employed in all countries. With no one speaking to about products and services feedback. Reading and posting online reviews becomes an important part of discussion and decision-making, especially for individuals and organizations. However, the growth of online reviews usage also provoked an increase in spam reviews. Spam reviews can be identified as fraud, malicious and fake reviews written for the purpose of profit or publicity. A number of spam detection methods have been proposed to solve this problem. As part of this study, we outline the concepts and detection methods of spam reviews, along with their implications in the environment of online reviews. The study addresses all the spam reviews detection studies for the years 2020 and 2021. In other words, we analyze and examine all works presented during the COVID-19 situation. Then, highlight the differences between the works before and after the pandemic in terms of reviews behavior and research findings. Furthermore, nine different detection approaches have been classified in order to investigate their specific advantages, limitations, and ways to improve their performance. Additionally, a literature analysis, discussion, and future directions were also presented.
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Keyword:
COVID-19; detection; online reviews; spam reviews; survey
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URL: https://doi.org/10.3390/app12073634
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[Ressenya del llibre] Julià-Muné, Joan (2019): Un segle de lingüística catalana: de la Lletra de convit a la GCC (1901- 2002). Lleida: Edicions de la Universitat de Lleida, 256 p
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In: Estudis romànics, 2022, vol. 44, p. 493-495 ; Ressenyes publicades (D-FLC) (2022)
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Adaptive Kompetenzen von Kindern mit Down-Syndrom – ein Follow-up über zehn Jahre ... : Adaptive competences of children with Down syndrome - a ten-year follow-up ...
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Predicting emotional links between genre, plot, and reader response ...
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Adaptive Kompetenzen von Kindern mit Down-Syndrom – ein Follow-up über zehn Jahre ; Adaptive competences of children with Down syndrome - a ten-year follow-up
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In: Empirische Sonderpädagogik 13 (2021) 2, S. 100-109 (2021)
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School-based language and literacy interventions for multilingual children and adolescents: A systematic evidence map and an overview of reviews ...
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Sentiment analysis in Galaxy with IMDB movie review dataset ...
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Sentiment analysis in Galaxy with IMDB movie review dataset ...
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E se a marca me responde com emoji?: impacto das características da CMC na perceção e atitudes face à marca
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