Hands-on Text Mining and Analytics

Yonsei University

About this Course

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This course provides an unique opportunity for you to learn key components of text mining and analytics aided by the real world datasets and the text mining toolkit written in Java. Hands-on experience in core text mining techniques including text preprocessing, sentiment analysis, and topic modeling help learners be trained to be a competent data scientists. 
Empowered by bringing lecture notes together with lab sessions based on the y-TextMiner toolkit developed for the class, learners will be able to develop interesting text mining applications.

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.

Intermediate Level

Approx. 13 hours to complete

English

Subtitles: French, Portuguese (European), Chinese (Simplified), Russian, English, Spanish

Instructor

Min Song

Professor

Library & Information Technology

12,419 Learners

1 Course

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.

Intermediate Level

Approx. 13 hours to complete

English

Subtitles: French, Portuguese (European), Chinese (Simplified), Russian, English, Spanish

Offered by

Yonsei University

Yonsei University was established in 1885 and is the oldest private university in Korea.

Yonsei’s main campus is situated minutes away from the economic, political, and cultural centers of Seoul’s metropolitan downtown. Yonsei has 3,500 eminent faculty members who are conducting cutting-edge research across all academic disciplines. There are 18 graduate schools, 22 colleges and 133 subsidiary institutions hosting a selective pool of students from around the world. Yonsei is proud of its history and reputation as a leading institution of higher education and research in Asia.

Syllabus - What you will learn from this course

Week

Week 1

2 hours to complete

Course Logistics and the Text Mining Tool for the Course

2 hours to complete

4 videos (Total 53 min), 1 reading, 1 quiz

4 videos

1.1 Description of the course including the objectives and outcomes14m

1.2 Explanations of the y-TextMiner package and the datasets9m

1.3 How-to-do: workspace installation and setup15m

1.4 How-to-use: the y-TextMiner package (download it at http://informatics.yonsei.ac.kr/yTextMiner/yTextMiner1.2.zip)13m

1 reading

What is Text Mining?10m

Week

Week 2

2 hours to complete

Text Preprocessing

2 hours to complete

5 videos (Total 67 min), 1 reading, 1 quiz

5 videos

2.1 Description of possible project ideas10m

2.2 What is text mining?10m

2.3 Description of preprocessing techniques11m

2.4 How-to-do: normalization including tokenization and lemmatization20m

2.5 How-to-do: N-Grams14m

1 reading

Text Preprocessing10m

Week

Week 3

2 hours to complete

Text Analysis Techniques

2 hours to complete

6 videos (Total 62 min), 2 readings, 1 quiz

6 videos

3.1 Description of stopword removal, stemming, and POS tagging12m

3.2 Explanations of named entity recognition11m

3.3 Explanations of dependency parsing8m

3.4 How-to-do: stopword removal and stemming14m

3.5 How-to-do: NER and POS Tagging6m

3.6 How-to-do: constituency and dependency parsing9m

2 readings

Stemming and Lemmatization10m

Named Entity Recognition10m

Week

Week 4

2 hours to complete

Term Weighting and Document Classification

2 hours to complete

5 videos (Total 52 min), 2 readings, 1 quiz

5 videos

4.1 Explanations of TF*IDF9m

4.2 Explanations of document classification11m

4.3 Explanations of sentiment analysis9m

4.4 How-to-do: computation of tf*idf weighting10m

4.5 How-to-do: classification with Logistic Regression11m

2 readings

Text Classification10m

TF-IDF10m

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I purchase the Certificate?
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
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Hands-on Text Mining and Analytics

Hands-on Text Mining and Analytics