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[HTML][HTML] Text mining of user-generated content (UGC) for business applications in e-commerce: A systematic review
S Li, F Liu, Y Zhang, B Zhu, H Zhu, Z Yu - Mathematics, 2022 - mdpi.com
In the Web2. 0 era, user-generated content (UGC) provides a valuable source of data to aid
in understanding consumers and driving intelligent business. Text mining techniques, such …
in understanding consumers and driving intelligent business. Text mining techniques, such …
Modeling and prediction of online product review helpfulness: a survey
GO Diaz, V Ng - Proceedings of the 56th Annual Meeting of the …, 2018 - aclanthology.org
As the amount of free-form user-generated reviews in e-commerce websites continues to
increase, there is an increasing need for automatic mechanisms that sift through the vast …
increase, there is an increasing need for automatic mechanisms that sift through the vast …
What makes an online review more helpful: an interpretation framework using XGBoost and SHAP values
Y Meng, N Yang, Z Qian, G Zhang - Journal of Theoretical and Applied …, 2020 - mdpi.com
Online product reviews play important roles in the word-of-mouth marketing of e-commerce
enterprises, but only helpful reviews actually influence customers' purchase decisions …
enterprises, but only helpful reviews actually influence customers' purchase decisions …
Helpfulness of online reviews: Examining review informativeness and classification thresholds by search products and experience products
X Sun, M Han, J Feng - Decision Support Systems, 2019 - Elsevier
Abstract Information overload often makes it difficult for consumers to identify helpful online
product reviews through the traditional “helpful votes” function; therefore, it has become …
product reviews through the traditional “helpful votes” function; therefore, it has become …
Does your style engage? Linguistic styles of influencers and digital consumer engagement on YouTube
As social media influencers have become a global phenomenon, brands are channeling
substantial resources into influencer marketing campaigns. Researchers are keenly …
substantial resources into influencer marketing campaigns. Researchers are keenly …
Fake consumer review detection using deep neural networks integrating word embeddings and emotion mining
P Hajek, A Barushka, M Munk - Neural Computing and Applications, 2020 - Springer
Fake consumer review detection has attracted much interest in recent years owing to the
increasing number of Internet purchases. Existing approaches to detect fake consumer …
increasing number of Internet purchases. Existing approaches to detect fake consumer …
[HTML][HTML] Impact of heuristic–systematic cues on the purchase intention of the electronic commerce consumer through the perception of product quality
For electronic commerce (e-commerce) consumers, it is impossible to evaluate the quality of
the products on offer as they are unable to physically test them before purchase. Therefore …
the products on offer as they are unable to physically test them before purchase. Therefore …
Online persuasion of review emotional intensity: A text mining analysis of restaurant reviews
Consumer-generated restaurant reviews are important sources in consumers' purchase
decisions. The purpose of this study is to explore the impact of emotional intensity on …
decisions. The purpose of this study is to explore the impact of emotional intensity on …
How textual quality of online reviews affect classification performance: a case of deep learning sentiment analysis
L Li, TT Goh, D ** - Neural Computing and Applications, 2020 - Springer
Cognitive computing is an interdisciplinary research field that simulates human thought
processes in a computerized model. One application for cognitive computing is sentiment …
processes in a computerized model. One application for cognitive computing is sentiment …
[PDF][PDF] Anger in consumer reviews: Unhelpful but persuasive?
A common assumption in prior research and practice is that more helpful online reviews will
exert a greater impact on consumer attitudes and purchase decisions. We suggest that this …
exert a greater impact on consumer attitudes and purchase decisions. We suggest that this …