[ad_1] Introduction Plagiarism is a serious issue in academic and professional settings, as it involves the unauthorized use of someone else’s work and claiming it as one’s own. With the advancement of technology, the ease…
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[ad_1] Introduction Personality recognition has become an increasingly important aspect in user profiling for various applications such as personalized marketing, recommendation systems, and human-computer interaction. By using machine learning algorithms and data analysis techniques, researchers…
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[ad_1] Thesis Overview: Aspect-based sentiment analysis has gained significant attention in recent years due to the increasing volume of user-generated content on the internet. This technique allows for the extraction of fine-grained opinions from text…
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[ad_1] Introduction Computational linguistics is a field that combines the study of linguistics and computer science to develop algorithms and models for understanding and processing natural language. With the increasing use of computers and digital…
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[ad_1] Introduction: Abstract interpretation is a powerful technique used in the field of program analysis to approximate the behavior of programs. By abstracting the details of a program’s execution, abstract interpretation allows for the efficient…
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[ad_1] Introduction Inductive logic programming (ILP) is a subfield of machine learning and artificial intelligence that combines logic programming and traditional machine learning techniques to induce logic programs from data. Rule learning, which involves the…
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[ad_1] Introduction: In recent years, Knowledge base question answering has become an essential tool for retrieving information from large scale databases. With the increasing amount of data available on the internet, traditional keyword-based search engines…
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[ad_1] Introduction In the era of big data, one of the major challenges faced by researchers and organizations is the interoperability of knowledge across different domains and systems. Linked data has emerged as a powerful…
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[ad_1] Introduction Semantic web technology has emerged as a promising solution for organizing and extracting knowledge from the vast amount of information available on the internet. By using standardized metadata and ontologies, the semantic web…
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[ad_1] Introduction: Knowledge graphs have emerged as a powerful tool for representing structured knowledge in a variety of domains. These graphs provide a flexible and scalable way to capture relationships between entities and concepts, making…
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