Research Topics in Networks and Text Analysis
Postgraduate course
- ECTS credits
- 15
- Teaching semesters
- Autumn, Spring
- Course code
- INFO371
- Number of semesters
- 1
- Teaching language
- English
- Resources
- Schedule
Course description
Objectives and Content
The course is concerned with the use of methods for working with text and network data in information science and media studies. Such methods are becoming increasingly important in the social sciences and in industry for the analysis of data from many different sources, including data from social and mainstream media. The course will establish a theoretical understanding of methods in network science and text analysis and work with programs that implement such methods. The course will cover language models, document clustering and comparison, supervised machine learning methods for the analysis of of documents, and network models for the analysis of the relationships between texts and users. The use of such methods as part of research strategies in information science and media studies will be emphasized and the course will provide theoretical and practical basis for working with methods for analyzing text and networks.
Participants will become familiar with packages for the analysis of text and network data and gain practical experience by performing their own analysis of real-world data.
Learning Outcomes
A student who has completed the course should have the following learning outcomes defined in terms of knowledge, skills and general competence:
Knowledge:
The candidate
- knows various theoretical and practical issues in network theory and text analysis.
- knows relevant research and trends in network science and text analysis, as well as new research problems.
Skills:
The candidate
- can apply the automated techniques to analyze text and network data and to explain their choice of technologies to solve particular problems.
Level of Study
Semester of Instruction
Required Previous Knowledge
Recommended Previous Knowledge
Access to the Course
Teaching and learning methods
Compulsory Assignments and Attendance
There will be mandatory assignments which must be completed and approved. The approved mandatory assignments cannot be carried over to other semesters.
Mandatory participation: Attendance at 80 % of course sessions is mandatory.
Forms of Assessment
Oral individual exam (40%)
Group based semester project(s) (60%)
The exam assignment will be given in the language of instruction in the course.
The exam answer must be submitted in the same language as the exam assignment.
Grading Scale
Assessment Semester
Assessment in teaching semester
Students with valid absence as defined in the UiB regulations § 5-5 can apply for an extended submission deadline to eksamen.infomedia@uib.no. The application must be submitted before the deadline for submission has expired.