In this course, students will understand characteristics of language through big data. Students will learn how to collect and analyze big data, and find linguistic features from the data. A number of approaches to the linguistic analysis of written and spoken texts will be discussed.
Offered By
Big data and Language 2
Korea Advanced Institute of Science and Technology(KAIST)About this Course
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Shareable Certificate
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Flexible deadlines
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Beginner Level
No background is required.
Approx. 6 hours to complete
English
Subtitles: English
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
No background is required.
Approx. 6 hours to complete
English
Subtitles: English
Offered by
Korea Advanced Institute of Science and Technology(KAIST)
The Korea Advanced Institute of Science and Technology (KAIST) was established in 1971 by the Korean government as the nation’s first research-intensive graduate school for science, engineering and technology. It has now grown into one of the world’s best universities, delivering top notch education and research programs for undergraduate and graduate students. KAIST encourages interdisciplinary and convergent research across a wide spectrum of disciplines, as well as strong collaborations with industry and global institutions.
Syllabus - What you will learn from this course
1 hour to complete
Scientific Approaches
1 hour to complete
5 videos (Total 60 min)
1 practice exercise
Scientific approaches10m
1 hour to complete
Analysis Tools I – BNC
1 hour to complete
5 videos (Total 61 min)
5 videos
BNC - Function I9m
BNC – Function II8m
BNC - Task7m
Student Presentation Samples: BNC27m
1 practice exercise
BNC10m
1 hour to complete
Analysis Tools II – COCA, ANTCONC & TagAnt
1 hour to complete
5 videos (Total 42 min)
1 practice exercise
COCA, TagAnt and AntConc10m
1 hour to complete
Considerations of Big Data and Language
1 hour to complete
5 videos (Total 66 min)
5 videos
Limitations of Big Data6m
Future directions of Big Data6m
Project Guideline and Peer Review4m
Student Presentation Samples45m
1 practice exercise
Considerations of Big Data and Language
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