首页|Research Results from Universiti Malaya Update Understanding of Machine Learning (Identification of significant features and machine learning technique in predicting helpful reviews)
Research Results from Universiti Malaya Update Understanding of Machine Learning (Identification of significant features and machine learning technique in predicting helpful reviews)
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Peerj Inc
Current study results on artificial intelligence have been published. According to news reporting originating from Kuala Lumpur, Malaysia, by NewsRx correspondents, research stated, “Consumers nowadays rely heavily on online reviews in making their purchase decisions.” Funders for this research include Impact Oriented Interdisciplinary Research Grant University of Malaya. Our news editors obtained a quote from the research from Universiti Malaya: “However, they are often overwhelmed by the mass amount of product reviews that are being generated on online platforms. Therefore, it is deemed essential to determine the helpful reviews, as it will significantly reduce the number of reviews that each consumer has to ponder. A review is identified as a helpful review if it has significant information that helps the reader in making a purchase decision. Many reviews posted online are lacking a sufficient amount of information used in the decision-making process. Past research has neglected much useful information that can be utilized in predicting helpful reviews. This research identifies significant information which is represented as features categorized as linguistic, metadata, readability, subjectivity, and polarity that have contributed to predicting helpful online reviews.”
Universiti MalayaKuala LumpurMalaysiaAsiaCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
Peerj Inc
