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Undergraduate Seminar (398-0-85)

Topic

Data Science & Text Analytics

Instructors

Wajdi Zaghouani

Meeting Info

Northwestern Qatar Room 1-302: Tues, Su 2:30PM - 3:45PM (AST)

Overview of class

Data Science & Text Analytics offers a comprehensive introduction to the field, emphasizing practical applications using accessible tools. The curriculum covers key areas such as data preprocessing, sentiment analysis, and text analytics. Students will gain hands-on experience with tools like Orange for data mining, Voyant Tools for text visualization, and Docuscope for rhetorical analysis. Additionally, the course introduces corpus analysis techniques using AntConc, SketchEngine, allowing for in-depth exploration of linguistic patterns. Integration with Google Colab and Hugging Face provides an introduction to NLP models, enhancing text analytics understanding without requiring programming skills. By the end of the course, students will be equipped to analyze and interpret text data from various sources, gaining insights into social media content, literary texts, and other text types. Designed for students with no prior coding experience, this course emphasizes the interpretation of results across diverse contexts.

Registration Requirements


  • Prerequisites: None

  • Open to Sophomores and above

  • MIT Technical-Practical Course

  • Satisfies AI and Media Minor

Enrollment Requirements

Enrollment Requirements: Registration is reserved for sophomore, juniors, and seniors only.