Specialization in Language Processing: Graphs
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Syllabus
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Summary
This specialization in language processing: Graphs emerges in response to the growing relevance of graphs integration in natural language processing (PLN). Graphs provide a structured and very useful representation to model complex linguistic and semantic relationships. We will explore from the linguistic foundations to advanced algorithms, highlighting how graphs allow to effectively visualize and analyze the interconnections in the language. This approach not only optimizes the understanding of the linguistic context, but also enhances the ability to address specific PLN challenges, such as the identification of entities, syntactic analysis and construction of knowledge graphs.
Goals
Professional opportunities
To prepare you
This specialization in language processing: graphs prepares you to lead in the field of artificial intelligence (AI) and natural language processing (PLN), dotting yourself with skills to design advanced systems that take advantage of the power of graphs. You will learn to build smart chatbots and to apply innovative techniques in text analysis, information extraction and content generation.
Who is it addressed to?
This specialization in language processing: graphs is designed for professionals in artificial intelligence, computational linguistics and developers interested in enhancing their skills in natural language processing and graphs. It is also ideal for students in related areas seeking to specialize in emerging technologies.
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Certification
Diploma of Accreditation of the Specialization Course in Language Processing: Graphs with curricular value issued by Universidad Da Vinci European Business School
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