[ad_1] Introduction Markov decision processes (MDPs) are a powerful framework for modeling sequential decision-making problems in which an agent interacts with a dynamic environment. MDPs have been widely used in a variety of fields, including…
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[ad_1] Introduction 1.1 Introduction 1.2 Background of study 1.3 Problem Statement 1.4 Objective of study 1.5 Limitation of study 1.6 Scope of study 1.7 Significance of study 1.8 Structure of the Thesis 1.9 Definition of…
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[ad_1] Introduction Document classification is the process of categorizing text documents into different predefined classes or categories. It is a fundamental task in information retrieval and natural language processing, with applications in various fields such…
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[ad_1] Introduction Document clustering is the process of grouping similar documents together based on their content or attributes. This technique is widely used in various applications such as information retrieval, text mining, and document organization.…
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[ad_1] Introduction In the era of big data, the need for efficient document discovery tools has become increasingly important. Topic modeling is a powerful technique that allows researchers to automatically discover the underlying themes or…
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[ad_1] Introduction Semantic similarity is a crucial concept in the field of Natural Language Processing (NLP) that aims to measure the relatedness between words based on their meanings. The ability to accurately determine the semantic…
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[ad_1] Introduction: Event extraction is a crucial aspect of situational awareness, which is the perception of the elements in an environment within a volume of time and space, the comprehension of their meaning, and the…
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[ad_1] Introduction Relation extraction is a critical task in natural language processing and information extraction that involves identifying and extracting relationships between entities mentioned in text. This process plays a crucial role in knowledge base…
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[ad_1] Introduction: Named Entity Recognition (NER) is a crucial task in the field of natural language processing (NLP) and information extraction. It involves identifying and classifying named entities such as people, organizations, locations, and dates…
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[ad_1] Introduction Spelling errors are a common occurrence in written text, and they can significantly impact the clarity and readability of the text. Spelling correction is the process of automatically detecting and correcting spelling errors…
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