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.

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Course Includes

  • 11 Lessons
  • 30 Topics
  • 31 Quizzes