Digital Humanities
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Information technology
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Interdisciplinary IT based studies
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Language
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Language Technology
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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
2 Courses
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Course Home Expand AllIntroduction to Sentiment Analysis3 Topics | 7 QuizzesSentiment and Emotion3 Topics | 2 QuizzesSentiment Analysis in Marketing Campaigns3 Topics | 3 QuizzesSentiment Analysis in Cultural Discourse3 Topics | 2 QuizzesText Preprocessing in Sentiment Analysis3 Topics | 2 QuizzesSentiment Analysis Process: Methods and Procedures3 Topics | 3 QuizzesThe Role of Context in Sentiment Analysis3 Topics | 3 QuizzesSentiment Lexicons and Dictionaries3 Topics | 2 QuizzesPre-trained Language Models for the Sentiment Analysis3 Topics | 1 Quiz
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