Hands-on Text Mining and Analytics (Coursera)

Offered by Yonsei University,
Hands-on Text Mining and Analytics (Coursera)

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.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

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.

Syllabus

WEEK 1: Course Logistics and the Text Mining Tool for the Course
WEEK 2: Text Preprocessing
WEEK 3: Text Analysis Techniques
WEEK 4: Term Weighting and Document Classification
WEEK 5: Sentiment Analysis
WEEK 6: Topic Modeling

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

Related Courses

Text Mining and Analytics (Coursera) Coursera
University of Illinois at Urbana-Champaign

Text Mining and Analytics (Coursera)

This course will cover the major techniques for mining and analyzing text data to discover interesting patterns, extract useful knowledge, and support decision making, with an emphasis on statistical approaches that can be generally applied to arbitrary text data in any natural language with no or minimum human effort.

Sep 21st 2026
5-12 Weeks
HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Administrative/IT Perspective) (Coursera) Coursera
Columbia University

HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Administrative/IT Perspective) (Coursera)

HI-FIVE (Health Informatics For Innovation, Value & Enrichment) Training is an approximately 10-hour online course designed by Columbia University in 2016, with sponsorship from the Office of the National Coordinator for Health Information Technology (ONC). The training is role-based and uses case scenarios. No additional hardware or software are required for this course. Our nation’s healthcare system is changing at a rapid pace.

Sep 28th 2026
4 Weeks
Demand Analytics (Coursera) Coursera
Rutgers University

Demand Analytics (Coursera)

Welcome to Demand Analytics - one of the most sought-after skills in supply chain management and marketing! Through the real-life story and data of a leading cookware manufacturer in North America, you will learn the data analytics skills for demand planning and forecasting.

Sep 21st 2026
4 Weeks
Text Mining for Marketing (Coursera) Coursera
O.P. Jindal Global University

Text Mining for Marketing (Coursera)

Welcome to the Text Mining for Marketing course! This course will introduce you to the principles and methods of text mining as they apply to the field of marketing. You will learn how and why to use text mining to inform marketing decisions and strategies. This course is for everyone interested in practical applications of text mining in the marketing discipline and who wants to understand it and apply it. This course is not for those who are looking for programming instructions and mathematical routines.

Sep 28th 2026
4 Weeks
What is Data Science? (Coursera) Coursera
IBM

What is Data Science? (Coursera)

The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people working in data science have carved out a unique and distinct field for the work they do. This field is data science. In this course, we will meet some data science practitioners and we will get an overview of what data science is today.

Sep 28th 2026
3 Weeks
The AI Ladder: A Framework for Deploying AI in your Enterprise (Coursera) Coursera
IBM

The AI Ladder: A Framework for Deploying AI in your Enterprise (Coursera)

This course is intended for business and technical professionals involved in strategic decision-making focused on bringing AI into their enterprises. Through the use of a conceptual model called “The AI Ladder”, participants in this course will learn the requirements, terms and concepts associated with successfully developing and deploying AI solutions in their enterprises.

Sep 28th 2026
1 Week
GIS Data Formats, Design and Quality (Coursera) Coursera
University of California, Davis

GIS Data Formats, Design and Quality (Coursera)

In this course, the second in the Geographic Information Systems (GIS) Specialization. What you will learn: design data tables and use separating and joining data in a relational database; write query strings to subset data; create and work with raster data; create web maps.

Sep 21st 2026
4 Weeks
UX Research at Scale: Surveys, Analytics, Online Testing (Coursera) Coursera
University of Michigan

UX Research at Scale: Surveys, Analytics, Online Testing (Coursera)

This UX course will provide an overview of survey methodology from the perspective of UX research. UX surveys typically focus on uncovering user needs, connecting needs to user characteristics, and gaining insight into user attitudes towards systems they use. In this course, learners will learn the basics of UX survey research and conduct a survey of their own design!

Sep 28th 2026
5-12 Weeks
Applied Text Mining in Python (Coursera) Coursera
University of Michigan

Applied Text Mining in Python (Coursera)

This course will introduce the learner to text mining and text manipulation basics. The course begins with an understanding of how text is handled by python, the structure of text both to the machine and to humans, and an overview of the nltk framework for manipulating text. The second week focuses on common manipulation needs, including regular expressions (searching for text), cleaning text, and preparing text for use by machine learning processes. The third week will apply basic natural language processing methods to text, and demonstrate how text classification is accomplished. The final week will explore more advanced methods for detecting the topics in documents and grouping them by similarity (topic modelling).

Oct 12th 2026
4 Weeks
Data Scientist Career Guide and Interview Preparation (Coursera) Coursera
IBM

Data Scientist Career Guide and Interview Preparation (Coursera)

This course is designed to prepare you to enter the job market as a data scientist. It provides guidance about the regular functions and tasks of data scientists and their place in the data ecosystem, as well as the opportunities of the profession and some options for career development. It explains practical techniques for creating essential job-seeking materials such as a resume and a portfolio, as well as auxiliary tools like a cover letter and an elevator pitch.

Oct 5th 2026
3 Weeks
Business Analytics Executive Overview (Coursera) Coursera
University of Illinois at Urbana-Champaign

Business Analytics Executive Overview (Coursera)

This course will focus on understanding key analytics concepts and the breadth of analytic possibilities. Together, the class will explore dozens of real-world analytics problems and solutions across most major industries and business functions. The course will also touch on analytic technologies, architectures, and roles from business intelligence to data science, and from data warehouses to data lakes. And the course will wrap up with a discussion of analytics trends and futures.

Sep 21st 2026
4 Weeks
Applying Data Analytics in Accounting (Coursera) Coursera
University of Illinois at Urbana-Champaign

Applying Data Analytics in Accounting (Coursera)

This course explores business analytic applications in accounting. First, it presents a survey of technology topics in accounting, including process mining, blockchain and applications in audit, tax, and assurance. Next, the course explores visualization and basic analytics in audit and control testing using R and Alteryx. Next, the course examines the uses of text analysis in accounting and conducts text analysis using R and RStudio. Finally, the course examines robot process automation in general using UiPath and its applications in accounting.

Sep 28th 2026
4 Weeks