In the course "Big data and Language 1," students will delve into the intersection of big data and language, gaining insights into the characteristics of language through data analysis. The course offers a comprehensive understanding of linguistic features through the analysis of written and spoken texts.
Students will learn how to collect and analyze big data to discover linguistic patterns and features. The course delves into various approaches to linguistic analysis, providing in-depth knowledge of the topic. The class consists of engaging lecture videos, each approximately 1 hour in duration, and weekly quizzes to reinforce learning. Additionally, students will undertake a final project that involves conducting research on text data and language, allowing them to apply their knowledge in a practical setting.
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The course modules in "Big data and Language 1" cover a wide range of topics, including Introduction to Big Data and Language, Spoken and Written Data, Corpus and Register, and Parts of Speech, providing students with a comprehensive understanding of big data analysis in the context of language.
Module 1: "Introduction to Big Data and Language" provides an overview of the course, delving into the 4th Industrial Revolution and the impact of big data on language. Students will gain insights into recent research on big data and language, setting the stage for the subsequent modules.
Module 2: "Spoken and Written Data" explores the characteristics of spoken English, highlighting the differences between spoken and written English. Students will also have the opportunity to analyze student presentations, gaining practical exposure to spoken data analysis.
Module 3: "Corpus and Register" delves into corpus linguistics and the concept of register in language. Students will explore different registers and their implications, gaining a deeper understanding of linguistic analysis in various contexts.
Module 4: "Parts of Speech" provides an in-depth analysis of different parts of speech, offering comprehensive insights into the linguistic structure. Students will explore the nuances of parts of speech, enhancing their understanding of language analysis.
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