3 天前 - … but also it depends on behave of the reviews. This paper proposes a Machine
learning accession to the identification of fake reviews. In addition to the features eradication …

8 天前 - … Secondly, the model employs machine learning algorithms to process the extracted
… deep learning techniques capable of capturing complex patterns and interactions. Through …

28 天前 - … in fake reviews, enhancing both fake and authentic behavior … to deep learning,
natural language processing, and online … online reviews. Reliable methods for detecting fake …

36 天前 - … similar behaviors among reviewers [13]. Additionally, through deep learning analysis
of … and sentiment of reviews, the detection capability of fake reviews is further enhanced. …

48 天前 - … Differentiating fake online forum reviews from real ones is a … classifies reviews as
spam or nonspam using deep learning… This paper shows how machine learning models affect …

52 天前 - … review datasets. The experimental results in this study show that the BERT-based
deep learning … This research will employ deep learning techniques to perform emotion …

58 天前 - … a lens through which to understand consumer behavior, … development of interpretable
machine learning algorithm for … design an interpretable machine learning algorithm in the …

71 天前 - … to positive online reviews is unclear. … consumer behavior: electronic word of mouth
(eWOM) and the satisfaction levels of prospective customers when they read online reviews …

79 天前 - … through spam reviews. One of the well-recognized methods used to detect spam
reviews is machine learning, specifically through the … on consumers buying behavior in various …

79 天前 - … Businesses that quickly pivoted to address new demands and changing consumer
behaviors fared better. Innovation became a survival strategy. Companies that traditionally …