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Semester | spring semester 2022 |
Course frequency | Irregular |
Lecturers | Sepideh Alassi (sepideh.alassi@unibas.ch, Assessor) |
Content | In this course, students will learn how to curate textual data, work with different textual structures and formats, tidy unstructured text, query text, analysis of grammatical structures and part of speech tagging, analysis of relationship between words, sentiment analysis, topic modeling, summarizing and visualizing characteristic of text, etc. |
Learning objectives | After this course, students will be able to perform text mining, scraping and sentiment analysis with R. |
Bibliography | - Text Mining with R by Julia Silge and David Robinson, published by O'Reilly Media, Inc. 2017 - The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data by Ronen Feldman and James Sanger, published by Cambridge University Press. - Foundations of Statistical Natural Language Processing by Christopher D. Manning and Hinrich Schütze, published by MIT Press. |
Admission requirements | Die Teilnehmerzahl ist beschränkt. Bei Überbelegung werden Studierende der Digital Humanities bevorzugt zugelassen. |
Course application | This course requires knowledge of programming with R and is designed for the students who either have attended an introduction to R programming course in the past or have experience programming with R. |
Language of instruction | English |
Use of digital media | No specific media used |
Interval | Weekday | Time | Room |
---|---|---|---|
wöchentlich | Wednesday | 16.15-18.00 | Rosshofgasse (Schnitz), Seminarraum S 01 |
Modules |
Modul: Creating, Analyzing and Visualizing of Data (Master's degree subject: Digital Humanities) Modul: Methoden der Gesellschaftswissenschaften (Master's Studies: European Global Studies) |
Assessment format | continuous assessment |
Assessment details | The evaluation will be based on submitted exercises and final mini-project. |
Assessment registration/deregistration | Reg.: course registration; dereg.: not required |
Repeat examination | no repeat examination |
Scale | Pass / Fail |
Repeated registration | as often as necessary |
Responsible faculty | Faculty of Humanities and Social Sciences, studadmin-philhist@unibas.ch |
Offered by | Digital Humanities Lab |