Recommendation model combining review’s feature and rating graph convolutional representation by Hailin FENG, Xiao ZHANG, Tongcun LIU

“…In order to fully exploit the effective information of the ratings and further investigate the importance of the review, a recommendation model combining review’s feature and rating graph convolutional representation was proposed.Graph convolutional neural network was used to learn the representation of user and item from the ratings data.Combining with text convolutional features, attention mechanism was utilized to distinguish the importance of the review.Finally, the representation learned from the review and the rating data was fused by the hidden factor model.The experimental results on Amazon’s public data showed that the proposed model significantly outperformed the traditional approaches, proving the effectiveness of the proposed model.…”
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Where We Rate: The Impact of Urban Characteristics on Digital Reviews and Ratings by Özge Öztürk Hacar, Müslüm Hacar, Fatih Gülgen, Luca Pappalardo

“…The model achieved a 65% F1-score for review volume classifications and a 62% for visitor score. …”
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Fine-grained analysis of aspects, sentiments and types of attitudes in restaurant reviews by Marcirio Silveira Chaves, André Laurel, Nélia Sacramento, Cristiane Drebes Pedron

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Zero-BertXGB: An Empirical Technique for Abstract Classification in Systematic Reviews by Mohammad Shariful Islam, Mohammad Abu Tareq Rony, Md Rasel Hossain, Samah Alshathri, Walid El-Shafai

“…Abstract classification in systematic reviews (SRs) is a crucial step in evidence synthesis but is often time-consuming and labour-intensive. …”
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Aspect-Based Sentiment Analysis using Adaptive Aspect on Tourist Reviews in Jakarta by Ade Rifqy Setyawan, Lya Hulliyatus Suadaa, Budi Yuniarto

“…In achieving these goals, this study propose to utilize reviews about tourist attractions in DKI Jakarta from Google Maps and extract public opinion by conducting aspect-based sentiment analysis. …”
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Neurocognitive Deficits in Individuals at Ultra-High-Risk for Psychosis: An Overview of Systematic Reviews by Farnaz Asadiof, Mona Zamanpour, Ali Fawzi Al-Hussainy, Alhan Abd Al-Hassan Shalal, Mohammed Ubaid, Zinab Aluquaily, Seyed Hamidreza Hashemian

“…By following the PRISMA procedure, we included all relevant systematic-reviews and meta-analyses in our data-synthesis. Results: Neurocognitive deficits, including impairments in working memory, attentional control, verbal learning, and executive functions, have been consistently identified as predictors of psychosis conversion in individuals at UHRP. …”
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Relationship between staff experience and patient outcomes in hospital settings: an overview of reviews by Peter Bragge, Melita J Giummarra, Natasha A Lannin, Sandra Reeder, Nadine Andrew, Paul Kellner, Veronica Delafosse, Ngo Cong-Lem, Diki Tsering

“…Objectives This review aimed to investigate the relationship between staff experience and patient health and experience outcomes in hospital inpatient settings.Design Systematic review of reviews.Methods Searches were performed in Medline (OVID), CINAHL and Google Scholar using key terms from relevant review articles. …”
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Efficacy of Acupuncture in the Treatment of Essential Hypertension: An Overview of Systematic Reviews and Meta-Analyses by Maoxia Fan, Guohua Dai, Runmin Li, Xiaoqi Wu

“…This overview is aimed at summarizing current systematic reviews of acupuncture for EH and assessing the methodological bias and quality of evidence. …”
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Effectiveness of Digital Mental Health Interventions in the Workplace: Umbrella Review of Systematic Reviews by Gillian Cameron, Maurice Mulvenna, Edel Ennis, Siobhan O'Neill, Raymond Bond, David Cameron, Alex Bunting

“…The 14 included reviews were published between 2014 and 2023, comprising 9 systematic reviews and 5 systematic reviews and meta-analyses. …”
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Extracting Product Features and Opinion Words Using Pattern Knowledge in Customer Reviews by Su Su Htay, Khin Thidar Lynn

“…Therefore, efficient method and techniques are needed to extract opinions from reviews. In this paper, we proposed a novel idea to find opinion words or phrases for each feature from customer reviews in an efficient way. …”
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Opinion Mining from Online User Reviews Using Fuzzy Linguistic Hedges by Mita K. Dalal, Mukesh A. Zaveri

“…Nowadays, there are several websites that allow customers to buy and post reviews of purchased products, which results in incremental accumulation of a lot of reviews written in natural language. …”
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Health system adaptations for extreme heat: Protocol for an international scoping review of reviews. by John Richmond, Mark Clowes

“…Searches will be limited to reviews published since 2015 in the English language. …”
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Ranking Analysis for Online Customer Reviews of Products Using Opinion Mining with Clustering by S. K. Lakshmanaprabu, K. Shankar, Deepak Gupta, Ashish Khanna, Joel J. P. C. Rodrigues, Plácido R. Pinheiro, Victor Hugo C. de Albuquerque

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The role of knowledge management in enhancing innovation performance: a study on literature reviews by Ade Maria Ulfah Rakhmatika Sari, I Gede Riana, I Gusti Ayu Manuati Dewi, I Made Artha Wibawa

“…This research aims to conduct a literature review study of company innovation performance. This research uses the literature study method to determine the measurement of company innovation performance of 56 articles related to innovation performance and its determining factors. …”
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Validation of the Story World Absorption Scale through annotation of online book reviews by Moniek M. Kuijpers, Massimo Lusetti, Piroska Lendvai, Simone Rebora

“…We used the SWAS as the foundation for a tag set, that targets mentions of absorption in online book reviews. Online book reviews posted on social media platforms are a relatively new form of reader testimonials that can be of use to researchers from different disciplines to investigate reading experience and evaluation, as well as social discourse about reading. …”
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Efficacy and safety of non-pharmacological interventions for neonatal pain: an overview of systematic reviews by Xufei Luo, Qiao Shen, Zixuan Huang, Hongyao Leng, Xianlan Zheng

“…Based on AMSTAR 2, seven reviews were found to be of ‘high quality‘, eight of ‘moderate quality’, five of ‘low quality’ and nine of ‘critically low quality’. …”
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DC-BiLSTM-CNN Algorithm for Sentiment Analysis of Chinese Product Reviews by Yuanfang Dong, Xiaofei Li, Meiling He, Jun Li

“…The combination of these channels facilitates a more comprehensive feature extraction from reviews. Comparative analysis revealed that DC-BiLSTM-CNN significantly outperforms baseline models, substantially enhancing the classification of product reviews. …”
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Semantic Features-Based Discourse Analysis Using Deceptive and Real Text Reviews by Husam M. Alawadh, Amerah Alabrah, Talha Meraj, Hafiz Tayyab Rauf

“…The proposed study is conducted to perform discourse analysis on fake and real reviews automatically. It uses a dataset of real hotel reviews, containing both positive and negative reviews. …”
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