
Digital Humanities
,
Information technology
,
Interdisciplinary IT based studies
,
Language
,
Language Technology
,
Digital Sentiment Analysis
The study course is primarily aimed at developing advanced and highly specialized proficiency level competences and skills of the students mastering study programs in humanities, interdisciplinary STEM+ based, and information technology.
The study course is envisioned for students with the basic knowledge of natural language processing (NLP) willing to advance their competence in sentiment analysis and textual data processing for a variety of applied industry-related tasks.
About Instructor
Marina Platonova
5 Courses
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All courses
Machine Translation Skillset
Machine Learning for Textual Data Processing
Digital Edutainment Elements in Translation
Digital Sentiment Analysis
Multimodal Digital Semiotics
Digital Semantics and Pragmatics
Arhitektūras projektēšana
Biznesa etiķete un komunikācija
Introduction to Linguistics
Artificial Intelligence: Search and Its Applications
Telecommunications and Computer Networks
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