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10 articles for “Customer Reviews”
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Research ArticleOpen accessIn the keywordsMeasuring Customers’ Satisfaction Using Sentiment Analysis: Model and ToolAhmed Alqurafi, Tawfeeq AlsanoosyCustomer reviews are a valuable data resource for business owners and companies. Customers frequently write reviews on many platforms, such as eBay or Amazon. These reviews show, for instance, to what extent customers are satisfied with a service or a product. Therefore, these reviews can be used by companies and business owners to improve their services or products. However, numerous … …Journal of Computer Science, Vol. 20, Issue 4 · 7 Feb 2024 · 6,471 accessesView PDFCite
Research ArticleOpen accessIn the abstractTwitter Sentiment Analysis Using Machine Learning and Deep Learning TechniquesSafa Khalid Al Sarayrah, Noor Mahmoud Alkudah, Hesham Yousef Al-kharabshehThis research investigates the use of Machine Learning (ML) and Deep Learning, including BiLSTM approaches, for Sentiment Analysis (SA) of consumer reviews on social media sites. Businesses are increasingly depending on online reviews to determine customer satisfaction due to social media's explosive growth. We used three classification models, the assessment of these attitudes uses Naive Bayes (NB), Support Vector Machine … …Journal of Computer Science, Vol. 21, Issue 8 · 1 Sep 2025 · 6,813 accessesView PDFCite
Research ArticleOpen accessIn the abstractDiverse Trajectory on Consumer’s Product Feedback Analysis by Confidence IntervalVithya Ganesan, Kirubakaran Namaskaram, Viriyala Sri Anima Padmini et al.The current investigation addresses the possibilities and limitations of the sentiment analysis of consumer remarks in the context of economic needs. It makes it easier for businesses to comprehend how the public's opinion shapes their abilities to satisfy clientele. Sentiment analysis concerns the assessment and interpretation of various forms of evaluation, such as product ratings, reviewer responses, and question-and-answer sessions. … …Journal of Computer Science, Vol. 21, Issue 5 · 28 Apr 2025 · 5,140 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of Preference Selection Index and TOPSIS in Product Aspect Extraction and RankingSaif Addeen Ahmad Alrababah, Nawaf Omara AlsrehinDecision-making methodologies can differentiate between several types of criterion weights. The subjective weights of decision-makers are prone to be influenced by various factors, including their level of knowledge, experience and competency. This may result in the wrong evaluation of the criteria due to the inherent ambiguity of human judgments, leading to unavoidable assessment errors. Beyond that, while assessing the decision … …Journal of Computer Science, Vol. 20, Issue 7 · 24 May 2024 · 4,838 accessesView PDFCite
Research ArticleOpen accessIn the abstractSentence Classification Using Attention Model for E-Commerce Product ReviewNagendra N, Chandra JThe importance of aspect extraction in text classification, particularly in the e-commerce sector. E-commerce platforms generate vast amounts of textual data, such as comments, product descriptions, and customer reviews, which contain valuable information about various aspects of products or services. Aspect extraction involves identifying and classifying individual traits or aspects mentioned in textual reviews to understand customer opinions, improve products, … …Journal of Computer Science, Vol. 20, Issue 5 · 28 Feb 2024 · 5,855 accessesView PDFCite
Review ArticleOpen accessIn the abstractSome Aircraft Considered New in 2020Florian Ion Tiberiu PetrescuThe paper briefly presents some models of aircraft considered avant-garde in 2020 and it is part of the reviews on news in aviation and aerospace. It briefly presents some basic features, news and more important data for each new model on display, so that the reader can get an image of that model but also an overall one, to compare … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 4 · 22 Dec 2020 · 7,464 accessesView PDFCite
Literature ReviewOpen accessIn the abstractOverview and Future Opportunities of Sentiment Analysis Approaches for Big DataNurfadhlina Mohd Sharef, Harnani Mat Zin, Samaneh NadaliThe ability to exploit public sentiment in social media is increasingly considered as an important tool for market understanding, customer segmentation and stock price prediction for strategic marketing planning and manoeuvring. This evolution of technology adoption is energised by the healthy growth in big data framework, which caused applications based on Sentiment Analysis (SA) in big data to become common … …Journal of Computer Science, Vol. 12, Issue 3 · 26 Apr 2016 · 10,313 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Study of Criteria for Evaluating the Performance of World Expo Taiwan PavilionHan-Chen Huang, I-Ying Chang, Su-Ling Wu, Wen-Pang LiaoUnder the circumstance of severe fund shortage of local governments in Taiwan, an exhibition pavilion's commitment to inheriting and passing down diverse cultures and the exhibition pavilion's business performance grows more important. This study utilizes the balanced scorecard concept, as proposed by Kaplan and Norton, reviews relevant literature, uses the Delphi method to gather and systemize opinions of experts in … …American Journal of Applied Sciences, Vol. 12, Issue 7 · 29 Aug 2015 · 6,756 accessesView PDFCite
Research ArticleOpen accessIn the abstractAN AGENT BASED FRAMEWORK FOR SENTIMENT CLASSIFICATION OF ONLINE REVIEWS USING ONTOLOGYP. Kalaivani, K. L. ShunmuganathanIn this study, we design and develop an agent based framework for sentiment classification of online reviews using ontology. The book review ranking is based on the sentiment classification result. We propose a novel approach with the help of the JADE platform to solve problems by non-visual automatic sentiment classification. The description of book reviews ranking are generated from the … …Journal of Computer Science, Vol. 10, Issue 5 · 15 Jan 2014 · 6,744 accessesView PDFCite
Research ArticleOpen accessIn the abstractDATA MINING IN BANKING AND ITS APPLICATIONS-A REVIEWSreekumar Pulakkazhy, R. V.S. BalanBanking systems collect huge amounts of data on day to day basis, be it customer information, transaction details, risk profiles, credit card details, limit and collateral details, compliance and Anti Money Laundering (AML) related information, trade finance data, SWIFT and telex messages. Thousands of decisions are taken in a bank daily. These decisions include credit decisions, default decisions, relationship start … …Journal of Computer Science, Vol. 9, Issue 10 · 5 Sep 2013 · 9,444 accessesView PDFCite