Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Coursera

Big data and Language 1

Korea Advanced Institute of Science and Technology via Coursera

Overview

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.
The class will consist of lecture videos which are approximately 1 hour and a quiz for each week. There will be a final project which requires students to conduct research on text data and language.

Syllabus

  • Introduction to Big Data and Language
  • Spoken and Written Data
  • Corpus and Register
  • Parts of Speech

Taught by

Seonmin Park

Related Courses

Reviews

3.6 rating, based on 5 reviews

Start your review of Big data and Language 1

  • Anonymous
    Learning Big Data and Language from Korea Advanced Institute of Science and Technology offered through Coursera exposed me to the possibilities of Natural Language Processing in Linguistics, which is an ever growing field in the space of artificial intelligence and speech recognition. Putting these skills learned through the course in use, I've been able to undertake a very big project successfully.
  • Anonymous
    Terrible grammar used by a speaker, terrible accent that makes it impossible to understand in most parts. Transcription is also inaccurate in many parts.

    Content is great but "the delivery" is unacceptable.
  • Anonymous
    Big data and Language 1

    Korea Advanced Institute of Science and Technology via Coursera,

    is a good course for learners who are interested in big data.
  • Anonymous
    It’s an interesting course. However, if it more of mathematical Ground would be welcome. Tools to handle big data could also be more thoroughly described.
  • Anonymous
    The lectures are fine. But the research aspect of it on discourse analysis is too simplistic for current relevant issues.

Never Stop Learning!

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free