Hands-on Text Mining and Analytics

Yonsei University

About this Course

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.

100% online course

Start instantly and learn at your own schedule.

Intermediate Level

Approx. 23 hours to complete

Suggested: 5 hours/week

English

Subtitles: English, Spanish, Chinese (Simplified)

100% online course

Start instantly and learn at your own schedule.

Intermediate Level

Approx. 23 hours to complete

Suggested: 5 hours/week

English

Subtitles: English, Spanish, Chinese (Simplified)

Syllabus - What you will learn from this course

1

Section

3 hours to complete

Course Logistics and the Text Mining Tool for the Course

...

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/yTextMiner.zip)13m

1 readings

What is Text Mining?10m

2

Section

3 hours to complete

Text Preprocessing

...

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 readings

Text Preprocessing10m

3

Section

3 hours to complete

Text Analysis Techniques

...

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

4

Section

3 hours to complete

Term Weighting and Document Classification

...

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

5

Section

3 hours to complete

Sentiment Analysis

...

6 videos (Total 59 min), 1 reading, 1 quiz

6 videos

5.1 Explanations of sentiment analysis with supervised learning9m

5.2 Explanations of sentiment analysis with unsupervised learning10m

5.3 Explanations of sentiment analysis with CoreNLP, LingPipe and SentiWordNet10m

5.4 How-to-do: sentiment analysis with CoreNLP8m

5.5 How-to-do: sentiment analysis with LingPipe9m

5.6 How-to-do: sentiment analysis with SentiWordNet10m

1 readings

Opinion mining and sentiment analysis by Bo Pang and Lillian Lee10m

6

Section

3 hours to complete

Topic Modeling

...

5 videos (Total 55 min), 1 reading, 1 quiz

5 videos

6.1 Description of Topic Modeling8m

6.2 Explanations of LDA and DMR10m

6.3 Description of Topic Modeling with Mallet13m

6.4 How-to-do: LDA11m

6.5 How-to-do: DMR11m

1 readings

Introduction to Probabilistic Topic Models by David Blei10m

Instructor

Min Song

Professor

About 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....

Frequently Asked Questions

When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
What will I get if I pay for this course?
If you pay for this course, you will have access to all of the features and content you need to earn a Course Certificate. If you complete the course successfully, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. Note that the Course Certificate does not represent official academic credit from the partner institution offering the course.
What is the refund policy?
Is financial aid available?
Yes! Coursera provides financial aid to learners who would like to complete a course but cannot afford the course fee. To apply for aid, select "Learn more and apply" in the Financial Aid section below the "Enroll" button. You'll be prompted to complete a simple application; no other paperwork is required.

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Hands-on Text Mining and Analytics