首页|Studies from Babes-Bolyai University in the Area of Artificial Intelligence Desc ribed (Automatic Detection of Verbal Deception in Romanian With Artificial Intel ligence Methods)
Studies from Babes-Bolyai University in the Area of Artificial Intelligence Desc ribed (Automatic Detection of Verbal Deception in Romanian With Artificial Intel ligence Methods)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in artific ial intelligence. According to news originating from Babes-Bolyai University by NewsRx correspondents, research stated, "Automatic deception detection is an imp ortant task with several applications in both direct physical human communicatio n, as well as in computer-mediated one. The objective of this paper is to study the nature of deceptive language." Our news reporters obtained a quote from the research from Babes-Bolyai Universi ty: "The primary goal of this study is to investigate deception in Romanian writ ten communication. We created a number of artificial intelligence models (based on Support Vector Machine, Random Forest, and Artificial Neural Network) to dete ct dishonesty in a topic-specific corpus. To assess the efficiency of the Lingui stic Inquiry and Word Count (LIWC) categories in Romanian, we conducted a compar ison between multiple text representations based on LIWC, TF-IDF, and LSA. The r esults show that in the case of datasets with a common subject such as the one w e used regarding friendship, text categorization is more successful using genera l text representations such as TF-IDF or LSA. The proposed approach achieves an accuracy of the classification of 91.3%, outperforming the similar approaches presented in the literature. These findings have implications in fiel ds like linguistics and opinion mining, where research on this subject in langua ges other than English is necessary. Received by the editors: 29 April 2024. 201 0 Mathematics Subject Classification. 68T50."
Babes-Bolyai UniversityArtificial Inte lligenceEmerging TechnologiesMachine Learning
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