Ameen Banjar¹, Zohair Ahmed², Ali Daud¹, Rabeeh Ayaz Abbasi³, Hussain Dawood^4,*

CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 2203-2225, 2021, DOI:10.32604/cmc.2021.014226

Abstract Most consumers read online reviews written by different users before making purchase decisions, where each opinion expresses some sentiment. Therefore, sentiment analysis is currently a hot topic of research. In particular, aspect-based sentiment analysis concerns the exploration of emotions, opinions and facts that are expressed by people, usually in the form of polarity. It is crucial to consider polarity calculations and not simply categorize reviews as positive, negative, or neutral. Currently, the available lexicon-based method accuracy is affected by limited coverage. Several of the available polarity estimation techniques are too general and may not reflect the aspect/topic in question if… More >

Lingyun Xiang^1,2,3, Guoqing Guo², Qian Li⁴, Chengzhang Zhu^5,*, Jiuren Chen⁶, Haoliang Ma²

Intelligent Automation & Soft Computing, Vol.26, No.6, pp. 1375-1390, 2020, DOI:10.32604/iasc.2020.013382

Abstract Current works on spam detection in product reviews tend to ignore the temporal relevance among reviews in the user or product entity, resulting in poor detection performance. To address this issue, the present paper proposes a spam detection method that jointly learns comprehensive temporal features from both behavioral and text features in user and product entities. We first extract the behavioral features of a single review, then employ a convolutional neural network (CNN) to learn the text features of this review. We next combine the behavioral features with the text features of each review and train a Long-Short-Term Memory (LSTM)… More >

Halimatus Sakdiah Minhat^1,2,*, Hazwan Mat Din¹

International Journal of Mental Health Promotion, Vol.22, No.4, pp. 283-290, 2020, DOI:10.32604/IJMHP.2020.012679

Abstract The rapid ageing process experienced by many developing countries, lead issues and challenges to deal with the highly demanding social care sector. This qualitative study aimed to explore the understanding and views of the formal caregivers in Malaysia towards social care for older persons. Series of focus group discussions were conducted among 57 institutional social care workers at four public residential care in Peninsular Malaysia based on the identified zones. Two groups of participants involved, those aged less than 40 years old and 40 years old and above, divided based on the mean age. The interview was transcribed verbatim and… More >

PCD Kalaivaani^1,*, Dr. R Thangarajan²

Intelligent Automation & Soft Computing, Vol.26, No.1, pp. 71-79, 2020, DOI:10.31209/2019.100000152

Abstract Web mining is the process of integrating the information from web by traditional data mining methodologies and techniques. Opinion mining is an application of natural language processing to extract subjective information from web. Online reviews require efficient classification algorithms for analysing the sentiments, which does not perform an in–depth analysis in current methods. Sentiment classification is done at document level in combination with topics and sentiments. It is based on weakly supervised Joint Sentiment-Topic mode which extends the topic model Maximum Entropy Discrimination Latent Dirichlet Allocation by constructing an additional sentiment layer. It is assumed that topics generated are dependent… More >

Jie Liu^a,b,c,d, Xiaodong Fu^d, Jin Liu^a,b,c, Yunchuan Sun^a,e

Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 73-80, 2018, DOI:10.1080/10798587.2016.1267244

Abstract Reviews are contents written by users to express opinions on products or services. The information contained in reviews is valuable to users who are going to make decisions on products or services. However, there are numbers of reviews for popular products, and the quality of reviews is not always good. It’s necessary to pick out reviews, which are in high quality from numbers of reviews to assist user in making decision. In this paper, we collected 21,501 reviews flagged as good from 499,253 products on JD.com. We observed the level of users is an important factor affects the quality of… More >

Min Cao¹, Sijing Zhou¹, Honghao Gao^1,2,3

Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 595-604, 2019, DOI:10.31209/2019.100000114

Abstract Recommender methods using reviews have become an area of active research in e-commerce systems. The use of auxiliary information in reviews as a way to effectively accommodate sparse data has been adopted in many fields, such as the product field. The existing recommendation methods using reviews typically employ aspect preference; however, the characteristics of product reviews are not considered adequate. To this end, this paper proposes a novel recommendation approach based on using product attributes to improve the efficiency of recommendation, and a hybrid collaborative filtering is presented. The product attribute model and a new recommendation ranking formula are introduced… More >

Ye Wang¹, Bixin Liu², Hongjia Wu¹, Shan Zhao¹, Zhiping Cai^{1, *}, Donghui Li^{3, *}, Cheang Chak Fong⁴

CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 355-367, 2020, DOI:10.32604/cmc.2020.09835

Abstract With the continuous development of e-commerce, consumers show increasing interest in posting comments on consumption experience and quality of commodities. Meanwhile, people make purchasing decisions relying on other comments much more than ever before. So the reliability of commodity comments has a significant impact on ensuring consumers’ equity and building a fair internet-trade-environment. However, some unscrupulous online-sellers write fake praiseful reviews for themselves and malicious comments for their business counterparts to maximize their profits. Those improper ways of self-profiting have severely ruined the entire online shopping industry. Aiming to detect and prevent these deceptive comments effectively, we construct a model… More >

Rick D. Vavolizza^1,2, Pe’er Dar^3,4, Barrie Suskin^3,4, Robert M. Moore^4,5, Kenan W.D. Stern^1,4

Congenital Heart Disease, Vol.13, No.3, pp. 407-412, 2018, DOI:10.1111/chd.12584

Abstract Objective: Suboptimal cardiac imaging on obstetric ultrasound is a frequent referral indication for fetal echocardiography, even in the absence of typical risk factors for fetal cardiac disease. The clinical profile of patients and findings of examinations performed for such an indication are not well defined. Given the increased cost, time and resource utilization of fetal echocardiography, we sought to determine the clinical findings of such referrals.
Study Design: We performed a single-center review of such referrals from January 2010 to June 2016. Patients with commonly accepted indications for fetal echocardiography were excluded. Demographic variables and echocardiogram findings were collected. Findings… More >

Shuzhen SHI^{1, 2}, Ming LIU^{1, 2}, Wenjuan MA^{1, 2}, Ya GAO^{1, 2}, Long GE³, Xiping SHEN³, Jiarui WU⁴, Junhua ZHANG^{5, *}, Jinhui TIAN^{1, 2, *}

BIOCELL, Vol.43, No.4, pp. 233-251, 2019, DOI:10.32604/biocell.2019.07624

Abstract The study aimed to analyze the reporting and methodological quality of systematic reviews (SRs)/metaanalyses (MAs) of animal models to provide references for later studies and avoid the waste of medical resources. EMBASE and MEDLINE databases were searched from inception to November 2017, with no language restriction. Two reviewers selected inclusion dependently and extracted the basic characteristics. Review Manager 5.3, stata 12.0, and SPSS 21 software were used to conduct analyses. A total of 46 SRs/MAs were included. The results showed that the English databases with high retrieval frequency are PubMed/MEDLINE, EMBASE, and Web of Science. 67.31% (31/46) of the articles… More >

Chikit Au¹, Yiyu Cai², Jianmin Zheng³, Tony Woo⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.68, No.3, pp. 221-238, 2010, DOI:10.3970/cmes.2010.068.221

Abstract A protein model (such as a ribbon model) can be created from the atomic coordinates in the protein data base files. These coordinates are obtained by X-ray crystallography or NMR spectroscopy with the protein arbitrarily oriented. As such, identifying or comparing a novel structure with a known item using protein model in the protein data base can be a timely process since a large number of transformations may be involved. The identification efficiency will be improved if the protein models are uniformly oriented. This paper presents an approach to orient a protein model to generate the characteristic views with minimum… More >