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Big data and Language 1

4.5

Based on 127 ratings

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Seonmin Park

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.

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What's inside

Syllabus

Introduction to Big Data and Language

Spoken and Written Data

Corpus and Register

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Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Examines linguistic features of written and spoken texts, which is standard in academia

Taught by Dr. Seonmin Park, who is well-known for their work in natural language processing (NLP)

Emphasizes the use of technology to analyze language, which aligns with current trends in the digital humanities field

Introduces essential concepts and techniques for linguistic analysis, building a solid foundation for further study in the field

Requires students to conduct research on language data, providing practical experience in data analysis and interpretation

May require background knowledge in programming and statistics, which could be a potential barrier for some students

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Reviews summary

Big data and language: foundational introduction

According to learners, this course offers a solid introduction to understanding language through big data. Many found the lectures to be clear and concise, making complex topics accessible, and the final project challenging yet rewarding for applying concepts. While it serves as an excellent entry point for beginners, particularly those bridging linguistics and computational aspects, some students note that the 'Big Data' component feels introductory and lacks in-depth practical coding examples. There are also mentions that some content could benefit from modernization to reflect current technologies. Overall, it's a valuable course for foundational understanding, though supplementary resources may be needed for advanced practical application.

Best suited for those new to computational linguistics.

"This course is not for someone with prior experience in big data. It's too introductory. I found myself skipping a lot of content."

"I found the section on 'Parts of Speech' to be quite basic and not as in-depth as I hoped for a course titled 'Big Data and Language'."

"I found the course is really for absolute beginners, which wasn't clear from the description."

The final project is a valuable, hands-on learning experience.

"...The final project was challenging but incredibly rewarding, allowing me to apply what I learned hands-on."

"...The workload was manageable, and the final project allowed for creativity. I gained a lot from this."

"For me, the final project really helped solidify the concepts and was the most engaging part of the course."

Provides a strong and accessible introduction to core concepts.

"This course provided an excellent introduction to the core concepts of big data and language. The lectures were clear and concise..."

"Fantastic course! As a linguistics student, this helped bridge the gap between traditional linguistics and the computational aspects of big data."

"Excellent course for beginners! The content is delivered very clearly and systematically. It provides a solid understanding..."

Instructions for the final project could be clearer.

"The final project instructions could have been clearer."

"The final project was also very open-ended, which made it hard to start without a strong prior background in NLP."

Could benefit from more practical coding and updated examples.

"I felt that some of the case studies were a bit theoretical and lacked practical coding examples, especially in the later modules..."

"The 'Big Data' aspect felt really light, more like an overview than a deep dive... The content felt outdated in some places..."

"The course is okay, but it needs more practical exercises. Just lectures and quizzes aren't enough for big data. I wish there were hands-on labs."

"I found it could benefit from more modern examples and perhaps an updated curriculum to reflect the latest advancements."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Big data and Language 1 with these activities:

Read 'Introduction to Natural Language Processing, 2nd Edition' by Jurafsky and Martin

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This comprehensive reference book provides a strong foundation for understanding natural language processing techniques.

View Speech and Language Processing on Amazon

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Read the assigned chapters and take notes.
Complete the exercises and assignments in the book.

Revisit linguistic terminology

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Revising these essential concepts will lay a solid foundation for understanding the course material.

Browse courses on Parts of speech

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Review notes or textbooks from previous linguistics courses.
Take practice quizzes or exercises to test your understanding.

Develop a glossary of linguistic terms

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Creating a personal glossary will enhance your understanding and retention of key concepts.

Browse courses on Parts of speech

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Identify and define important linguistic terms.
Organize the terms into a coherent structure.
Refer to your glossary regularly while studying.

Six other activities

Expand to see all activities and additional details

Show all nine activities

Explore online resources

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Familiarizing yourself with specialized tools and techniques will extend your capabilities in the field.

Browse courses on Big Data Analysis

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Search for online tutorials on linguistic analysis of big data.
Follow the tutorials to learn how to use specific software or techniques.
Apply what you've learned to analyze sample texts.

Analyze sample texts

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Applying linguistic principles to real-world examples will enhance your analytical skills and deepen your comprehension.

Browse courses on Text Analysis

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Find sample texts from various sources (e.g., news articles, blog posts, literary works).
Identify and label the parts of speech and other linguistic features.
Look for patterns and correlations in the usage of linguistic features.

Join a study group

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Engaging with peers can provide diverse perspectives, enhance understanding, and motivate learning.

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Connect with classmates through online forums or social media.
Set up regular study sessions to discuss course material, share insights, and work on assignments.
Provide support and encouragement to each other.

Participate in a tutoring program

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Teaching others can reinforce your understanding and identify areas where you need further improvement.

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Volunteer as a tutor for introductory linguistics courses.
Provide support and guidance to students with their assignments and understanding of concepts.

Analyze a text corpus

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Conducting your own analysis will deepen your understanding of linguistic patterns and provide practical experience.

Browse courses on Corpus Linguistics

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Choose a research question and gather a relevant text corpus.
Apply linguistic analysis techniques to extract and interpret data.
Draw conclusions and present your findings.

Contribute to a linguistic data science project

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Hands-on involvement in open-source projects provides valuable experience and fosters collaboration.

Browse courses on Natural Language Processing

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Identify a linguistic data science project that interests you.
Join the project community and learn about their goals and methods.
Contribute to the project by writing code, analyzing data, or providing documentation.

Career center

Learners who complete Big data and Language 1 will develop knowledge and skills that may be useful to these careers:

Natural Language Processing Engineer

NLP Engineers develop and implement computer systems that can understand and generate human language. This course may be useful for success as a NLP Engineer because it will help you develop a deep understanding of the structure of language, which will be vital in your NLP work.

See salaries and explore the career path for Natural Language Processing Engineer

Data Scientist

Data Scientists use their skills in mathematics, statistics, and computer science to develop and implement data-driven solutions to business problems. This course is quite relevant, and may be helpful in your career as a Data Scientist because it will provide you with the opportunity to gain experience in collecting, analyzing, and using big data.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers build and implement machine learning models that can learn from data and make predictions. This course may be quite useful to your success as a Machine Learning Engineer because it will provide you with the opportunity to gain experience in collecting, analyzing, and using big data.

See salaries and explore the career path for Machine Learning Engineer

Linguistic Analyst

Linguistic Analysts work in many different industries, but they all use their deep understanding of language to solve problems. If you plan to be a Linguistic Analyst, this course may be helpful because it will provide you with a toolkit of skills you can use to collect and analyze big data in order to gain insights into language.

See salaries and explore the career path for Linguistic Analyst

Computational Linguist

Computational Linguists use their knowledge of linguistics and computer science to develop computational models of language. While this course may not be required for this role, it can provide you with a competitive edge because it will enhance your understanding of the structure of language.

See salaries and explore the career path for Computational Linguist

Lexicographer

Lexicographers research and compile dictionaries. This course may be quite helpful in your career as a Lexicographer because it will provide you with a deep understanding of the structure of language.

See salaries and explore the career path for Lexicographer

Speech Scientist

Speech Scientists study the production and perception of speech. This course may be quite useful in your career as a Speech Scientist because it will provide you with a deep understanding of the structure of spoken language.

See salaries and explore the career path for Speech Scientist

Forensic Linguist

Forensic Linguists apply their knowledge of linguistics to legal problems. This course may be quite useful in your career as a Forensic Linguist because it will provide you with a deep understanding of the structure of language and how it can be used to convey meaning.

See salaries and explore the career path for Forensic Linguist

Technical Writer

Technical Writers create user manuals, documentation, and other technical materials. This course may be quite useful in your career as a Technical Writer because it will enhance your ability to craft clear and concise language.

See salaries and explore the career path for Technical Writer

Information Architect

Information Architects design and organize websites, intranets, and other information systems in order to make them easy to use and find. This course may be quite useful in your career as an Information Architect because it will provide you with a deep understanding of the structure of language and how it can be used to convey information.

See salaries and explore the career path for Information Architect

Data Analyst

Data Analysts use their skills in mathematics and statistics to collect, analyze, and interpret data. This course may be somewhat useful for your work because it will help you to build a foundation in the analysis of big data.

See salaries and explore the career path for Data Analyst

Translator

Translators convert written or spoken text from one language to another. This course may be somewhat useful in your career as a Translator because it will provide you with a deeper understanding of the structure of different languages.

See salaries and explore the career path for Translator

Front-End Web Developer

Front-End Web Developers are responsible for the design and implementation of the user interface of a website. This course may be somewhat useful in your career as a Front-End Web Developer because it will provide you with a deeper understanding of the principles of user experience and how to create user-friendly websites.

See salaries and explore the career path for Front-End Web Developer

User Experience Researcher

User Experience Researchers study how people interact with products and services in order to improve their usability. This course may be somewhat useful in your career as a User Experience Researcher because it will provide you with a better understanding of how people use and understand language.

See salaries and explore the career path for User Experience Researcher

Language Teacher

Language Teachers teach foreign languages to students. This course may be somewhat useful in your career as a Language Teacher because it will provide you with a deeper understanding of the principles of language acquisition and use.

See salaries and explore the career path for Language Teacher

Reading list

We've selected eight books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Big data and Language 1.

Cover image

Cover image

Natural Language Processing with Python

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Provides a comprehensive overview of natural language processing (NLP) techniques, with a focus on Python implementations. It covers topics such as text classification, sentiment analysis, and machine translation.

Natural Language Processing with Python: Analyzing...

Natural Language Processing with Python: Analyzing...

Cover image

Cover image

Speech and Language Processing

Save

Provides a comprehensive overview of speech and language processing, with a focus on theoretical foundations and practical applications.

Speech and Language Processing

Speech and Language Processing

Cover image

Cover image

Speech and Language Processing

Save

Provides a comprehensive overview of speech and language processing, with a focus on theoretical foundations and practical applications.

Speech and Language Processing

Speech and Language Processing

Cover image

Cover image

Introduction to Information Retrieval

Save

Provides a comprehensive overview of the statistical foundations of natural language processing. It covers topics such as language models, machine learning algorithms, and evaluation metrics.

Introduction to Information Retrieval

Introduction to Information Retrieval

Cover image

Cover image

Speech and Language Processing. An Introduction to...

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Provides a comprehensive overview of speech and language processing, with a focus on theoretical foundations and practical applications. It covers topics such as speech recognition, language modeling, and machine translation.

Speech and Language Processing An Introduction to...

Cover image

Cover image

2024 CONSUMER TREND INSIGHTS

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Provides an overview of Korean natural language processing (NLP) techniques, with a focus on practical applications.

2024 CONSUMER TREND INSIGHTS

2024 CONSUMER TREND INSIGHTS

Foundations of Statistical Natural Language...

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Provides a comprehensive overview of the statistical foundations of natural language processing. It covers topics such as language models, machine learning algorithms, and evaluation metrics.

Foundations of Statistical Natural Language...

Foundations of Statistical Natural Language...

Cover image

Cover image

Cahier Écriture Coréen

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Provides a comprehensive overview of Korean natural language processing (NLP) techniques, with a focus on theoretical foundations and practical applications.

(Français) Coréen les bases (cahier d'exercices)

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Rating

4.5

Effort

4 hours to complete

Level

Introductory

Via

Coursera

Institution

Korea Advanced Institute of Science and Technology(KAIST)

Instructor

Seonmin Park

Language

English

Transcripts

Español Français Português Deutsch Italiano 中文 العربية 한국어 日本語 हिंदी Nederlands Svenska Pусский Türkçe Polski Ελληνικά українська мова Bahasa Indonesia ไทย қазақша

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Examines linguistic features of written and spoken texts, which is standard in academia

Taught by Dr. Seonmin Park, who is well-known for their work in natural language processing (NLP)

Emphasizes the use of technology to analyze language, which aligns with current trends in the digital humanities field

Introduces essential concepts and techniques for linguistic analysis, building a solid foundation for further study in the field

Requires students to conduct research on language data, providing practical experience in data analysis and interpretation

May require background knowledge in programming and statistics, which could be a potential barrier for some students

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