Course Details

Course Name
Data Clinic (Aineistoklinikka)
Course Type
Course
Institution
University of Helsinki
Department
Department of Digital Humanities / FIN-CLARIN
Information
https://courses.helsinki.fi/fi/lda-t3110/130806039
Curriculum
-
Status
record actively maintained
Course Language
English
Start Date
2019-11-01
recurring
ECTS
5
Lecturer
Mietta Lennes
PID
Disciplines: Arts and Cultural Studies, Cognitive Science, Computer Science, Ethnology, History, Human Language Technologies, Linguistics and Language Studies, Literary and Philological Studies, Media and Communication Studies, Other, Social Sciences, Theology and Religious Studies, Theory and Methodology of DH
Techniques: Brainstorming, Browsing, Collocation Analysis, Commenting, Concordancing, Durable Persistent Media, Encoding, Named Entity Recognition, Open Archival Information Systems, POS-Tagging, Preservation Metadata, Searching, Sentiment Analysis, Topic Modeling, Versioning, Text Mining
Objects: DigitalHumanities, Data, File, Infrastructure, Interaction, Language, Link, Literature, Metadata, Multimedia, Multimodal, Persons, Projects, Research, ResearchProcess, Software, Sound, Standards, Text, Tools, Video, Visualization, Speech
Access Requirements
The course is mainly intended to help Master's and PhD students at the University of Helsinki and other Finnish universities. Individual participants from universities outside Finland may be accepted if space allows, but please note that the level of support that we can offer to external students may vary. All the materials are offered via the Moodle platform of the University of Helsinki, which may not be accessible from all countries. Please contact the teacher and we will see what we can do!
Description
This course will help you in various stages of managing, annotating and analyzing your language material, e.g., text or speech. The course focuses mainly on handling research material and data that contains language in some form. For instance, you may be using text documents or audio and video recordings of spoken language. Your data may come from existing language corpora, from an archive, from the Internet, or you may have collected it from some other source. Your research topic need not be linguistic, however. Students of all fields are welcome.
Keywords
Disciplines: Arts and Cultural Studies, Cognitive Science, Computer Science, Ethnology, History, Human Language Technologies, Linguistics and Language Studies, Literary and Philological Studies, Media and Communication Studies, Other, Social Sciences, Theology and Religious Studies, Theory and Methodology of DH
Techniques: Brainstorming, Browsing, Collocation Analysis, Commenting, Concordancing, Durable Persistent Media, Encoding, Named Entity Recognition, Open Archival Information Systems, POS-Tagging, Preservation Metadata, Searching, Sentiment Analysis, Topic Modeling, Versioning, Text Mining
Objects: DigitalHumanities, Data, File, Infrastructure, Interaction, Language, Link, Literature, Metadata, Multimedia, Multimodal, Persons, Projects, Research, ResearchProcess, Software, Sound, Standards, Text, Tools, Video, Visualization, Speech