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Min Song
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/507zz5/hands
What's inside
Syllabus
Course Logistics and the Text Mining Tool for the Course
Text Preprocessing
Text Analysis Techniques
Read more
Syllabus
Course Logistics and the Text Mining Tool for the Course
Text Preprocessing
Text Analysis Techniques
Read more
Term Weighting and Document Classification
Sentiment Analysis
Topic Modeling
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops core skills for data scientists, including data preprocessing, sentiment analysis, and topic modeling
Provides hands-on experience using the real world datasets and the text mining toolkit written in Java
Teaches key components of text mining and analytics
Empowers students to develop interesting text mining applications
Save this course
Save Hands-on Text Mining and Analytics to your list so you can find it easily later:
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Reviews summary
Hands-on text mining fundamentals
According to students, hands-on assignments in text mining and analytics are a major component of this course. While the instructor is well-received, some students have complained about a buggy software and a large file that was required to install.
Students appreciate the variety of hands-on assignments throughout the course.
"Great & Hot Topic."
"Amazing."
The instructor is well-respected by learners.
"Amazing."
Some students have experienced technical difficulties with the course software.
"Additionally, the software is buggy and resolving these bugs gets in the way of actually completing course assignments."
One of the software requirements is a large file to be installed.
"installation of the required yTextMiner library is huge (1 GB of data to install!)"
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 Hands-on Text Mining and Analytics with these
activities:
Review Calculus Concepts
Show steps
Review fundamental calculus concepts to strengthen your mathematical foundation and enhance your understanding of text mining techniques.
Browse courses on
Calculus
Show steps
-
Revisit key calculus concepts such as derivatives, integrals, and limits.
-
Practice solving calculus problems to refresh your skills.
Compilation of Text Mining Resources
Show steps
Enhance your learning by compiling a collection of useful resources, tools, and datasets related to text mining.
Browse courses on
Text Mining
Show steps
-
Identify and gather relevant resources from online sources and research papers.
-
Categorize and organize the resources for easy access.
-
Consider creating a blog post or website to share the compilation with others.
Analyze 'Natural Language Processing with Python'
Show steps
Expand your knowledge by reviewing a comprehensive text on natural language processing, which provides insights into advanced techniques related to text mining.
View
Natural Language Processing with Python:...
on Amazon
Show steps
-
Read selected chapters to gain a deeper understanding of NLP concepts.
-
Complete exercises and practice problems to reinforce your learning.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Exercises on Text Preprocessing
Show steps
Enhance your skills by practicing text preprocessing techniques, which are crucial for effective text mining.
Browse courses on
Text Preprocessing
Show steps
-
Use Python libraries to perform text cleaning, tokenization, and stemming on sample datasets.
-
Experiment with different preprocessing methods to observe their impact on text analysis.
Mentoring in Text Mining Concepts
Show steps
Deepen your understanding by mentoring others in text mining concepts, which reinforces your knowledge and improves your communication skills.
Browse courses on
Text Mining
Show steps
-
Identify opportunities to mentor students or colleagues in text mining.
-
Share your knowledge and expertise to guide others.
-
Provide feedback and support to facilitate their learning journey.
Mini Project: Sentiment Analysis of Product Reviews
Show steps
Apply your knowledge by conducting a mini project on sentiment analysis, which involves analyzing and interpreting emotions expressed in text.
Browse courses on
Sentiment Analysis
Show steps
-
Collect a dataset of product reviews.
-
Develop a Python script to preprocess the data and perform sentiment analysis.
-
Analyze the results to identify patterns and insights.
Attend Text Mining Conference
Show steps
Expand your network and stay updated on advancements in text mining by attending a relevant conference.
Browse courses on
Text Mining
Show steps
-
Identify and register for a text mining conference.
-
Attend presentations, workshops, and networking sessions.
-
Connect with experts and explore potential collaborations.
Presentation on Key Text Mining Concepts
Show steps
Solidify your understanding by creating a presentation that explains key concepts and techniques in text mining.
Browse courses on
Text Mining
Show steps
-
Research and gather information on text mining.
-
Organize the content logically and visually.
-
Practice delivering the presentation effectively.
Review Calculus Concepts
Show steps
Review fundamental calculus concepts to strengthen your mathematical foundation and enhance your understanding of text mining techniques.
Browse courses on
Calculus
Show steps
Show steps
Show steps
- Revisit key calculus concepts such as derivatives, integrals, and limits.
- Practice solving calculus problems to refresh your skills.
Compilation of Text Mining Resources
Show steps
Enhance your learning by compiling a collection of useful resources, tools, and datasets related to text mining.
Browse courses on
Text Mining
Show steps
Show steps
Show steps
- Identify and gather relevant resources from online sources and research papers.
- Categorize and organize the resources for easy access.
- Consider creating a blog post or website to share the compilation with others.
Analyze 'Natural Language Processing with Python'
Show steps
Expand your knowledge by reviewing a comprehensive text on natural language processing, which provides insights into advanced techniques related to text mining.
View
Natural Language Processing with Python:...
on Amazon
Show steps
Show steps
Show steps
- Read selected chapters to gain a deeper understanding of NLP concepts.
- Complete exercises and practice problems to reinforce your learning.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Exercises on Text Preprocessing
Show steps
Enhance your skills by practicing text preprocessing techniques, which are crucial for effective text mining.
Browse courses on
Text Preprocessing
Show steps
Show steps
Show steps
- Use Python libraries to perform text cleaning, tokenization, and stemming on sample datasets.
- Experiment with different preprocessing methods to observe their impact on text analysis.
Mentoring in Text Mining Concepts
Show steps
Deepen your understanding by mentoring others in text mining concepts, which reinforces your knowledge and improves your communication skills.
Browse courses on
Text Mining
Show steps
Show steps
Show steps
- Identify opportunities to mentor students or colleagues in text mining.
- Share your knowledge and expertise to guide others.
- Provide feedback and support to facilitate their learning journey.
Mini Project: Sentiment Analysis of Product Reviews
Show steps
Apply your knowledge by conducting a mini project on sentiment analysis, which involves analyzing and interpreting emotions expressed in text.
Browse courses on
Sentiment Analysis
Show steps
Show steps
Show steps
- Collect a dataset of product reviews.
- Develop a Python script to preprocess the data and perform sentiment analysis.
- Analyze the results to identify patterns and insights.
Attend Text Mining Conference
Show steps
Expand your network and stay updated on advancements in text mining by attending a relevant conference.
Browse courses on
Text Mining
Show steps
Show steps
Show steps
- Identify and register for a text mining conference.
- Attend presentations, workshops, and networking sessions.
- Connect with experts and explore potential collaborations.
Presentation on Key Text Mining Concepts
Show steps
Solidify your understanding by creating a presentation that explains key concepts and techniques in text mining.
Browse courses on
Text Mining
Show steps
Show steps
Show steps
- Research and gather information on text mining.
- Organize the content logically and visually.
- Practice delivering the presentation effectively.
Career center
Learners who complete Hands-on Text Mining and Analytics will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist is responsible for developing and building models to analyze data, and they may work in many different industries. This course is an excellent fit for this role, as it teaches the key components of text mining and analytics, which are skills that are in high demand for Data Scientists.
Data Analyst
Data Analyst
A Data Analyst collects, analyzes, and interprets data to help businesses make better decisions. This course can provide the foundation for a career as a Data Analyst, as it teaches the skills needed to analyze and interpret text data, which is a valuable skill for businesses in many different industries.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer builds and deploys machine learning models to solve business problems. This course can help you build a foundation for a career as a Machine Learning Engineer, as it teaches the key components of text mining and analytics, which are skills that are in high demand for Machine Learning Engineers.
Business Analyst
Business Analyst
A Business Analyst helps businesses identify and solve problems, and they may work in many different industries. This course may be useful for someone who wants to become a Business Analyst, as it teaches the skills needed to analyze and interpret text data, which is a valuable skill for Business Analysts in many different industries.
Marketing Analyst
Marketing Analyst
A Marketing Analyst analyzes data to help businesses make better marketing decisions. This course may be useful for someone who wants to become a Marketing Analyst, as it teaches the skills needed to analyze and interpret text data, which is a valuable skill for Marketing Analysts in many different industries.
Product Manager
Product Manager
A Product Manager is responsible for the development and launch of new products. This course may be useful for someone who wants to become a Product Manager, as it teaches the skills needed to analyze and interpret text data, which is a valuable skill for Product Managers in many different industries.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course may be useful for someone who wants to become a Software Engineer, as it teaches the skills needed to analyze and interpret text data, which is a valuable skill for Software Engineers in many different industries.
Database Administrator
Database Administrator
A Database Administrator manages and maintains databases. This course may be useful for someone who wants to become a Database Administrator, as it teaches the skills needed to analyze and interpret text data, which is a valuable skill for Database Administrators in many different industries.
Technical Writer
Technical Writer
A Technical Writer creates and maintains documentation for technical products. This course may be useful for someone who wants to become a Technical Writer, as it teaches the skills needed to analyze and interpret text data, which is a valuable skill for Technical Writers in many different industries.
User Experience Researcher
User Experience Researcher
A User Experience Researcher studies how users interact with products and services. This course may be useful for someone who wants to become a User Experience Researcher, as it teaches the skills needed to analyze and interpret text data, which is a valuable skill for User Experience Researchers in many different industries.
Information Architect
Information Architect
An Information Architect designs and organizes websites and other information systems. This course may be useful for someone who wants to become an Information Architect, as it teaches the skills needed to analyze and interpret text data, which is a valuable skill for Information Architects in many different industries.
Content Strategist
Content Strategist
A Content Strategist plans and creates content for websites and other digital platforms. This course may be useful for someone who wants to become a Content Strategist, as it teaches the skills needed to analyze and interpret text data, which is a valuable skill for Content Strategists in many different industries.
Social Media Manager
Social Media Manager
A Social Media Manager plans and executes social media campaigns. This course may be useful for someone who wants to become a Social Media Manager, as it teaches the skills needed to analyze and interpret text data, which is a valuable skill for Social Media Managers in many different industries.
Public relations manager
Public relations manager
A Public Relations Manager manages the public image of a company or organization. This course may be useful for someone who wants to become a Public Relations Manager, as it teaches the skills needed to analyze and interpret text data, which is a valuable skill for Public Relations Managers in many different industries.
Customer Service Representative
Customer Service Representative
A Customer Service Representative provides support to customers. This course may be useful for someone who wants to become a Customer Service Representative, as it teaches the skills needed to analyze and interpret text data, which is a valuable skill for Customer Service Representatives in many different industries.
For more career information including salaries, visit:
OpenCourser.com/course/507zz5/hands
Reading list
We've selected 24 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
Hands-on Text Mining and Analytics.
Focuses on sentiment analysis, which specific application of text mining. It covers techniques for extracting and analyzing sentiment from text data.
Would be useful to read as a supplement to this course, as it provides a comprehensive overview of natural language processing with Python. This book is recommended for learners who are interested in learning more about the theory and practice of natural language processing.
Save
Provides a practical introduction to text mining using R. It covers a wide range of topics, including text preprocessing, sentiment analysis, and topic modeling. It valuable resource for anyone who wants to learn more about text mining and analytics.
Presents the theoretical foundations and algorithms for topic modeling, which subfield of text mining.
Discusses text classification using Support Vector Machines, which machine learning technique.
Presents techniques for managing and analyzing large-scale text data.
Offers a comprehensive introduction to text analytics using Python. It covers various text mining techniques, providing practical examples and code snippets that can enhance the understanding gained from the course.
Would be a good choice for learners who are interested in learning more about text analytics with Python. This book provides a comprehensive overview of the field, including both theoretical and practical aspects.
Save
Provides a comprehensive introduction to machine learning for text. It covers a wide range of topics, including text preprocessing, sentiment analysis, and topic modeling. It valuable resource for anyone who wants to learn more about machine learning for text.
Save
Provides an overview of text mining, with a focus on applications in business and finance.
Save
Would be a good reference for learners who are interested in learning more about data mining. This book provides a comprehensive overview of the field, including both theoretical and practical aspects.
Save
Provides a practical introduction to text mining using R. It covers data preprocessing, feature extraction, and text classification techniques, offering an alternative perspective to the course's focus on Java.
This practical guide provides a solid foundation in Python for data analysis. It covers data manipulation, visualization, and machine learning techniques, offering a valuable resource for the course's focus on practical applications.
Provides a comprehensive overview of information retrieval, which is related to text mining.
Save
Is about analyzing text data using Hadoop, which distributed computing platform.
Would be a good choice for learners who are interested in learning more about deep learning for natural language processing. This book provides a comprehensive overview of the field, including both theoretical and practical aspects.
Covers the essential components of Natural Language Processing (NLP) with Python.
This textbook provides a broad overview of data mining techniques, including text mining. It offers a conceptual understanding of the field and serves as a useful reference for the course's focus on text-specific applications.
Save
Would be a valuable reference for learners who are interested in learning more about speech and language processing. This book provides a comprehensive overview of the field, including both theoretical and practical aspects.
Provides a comprehensive introduction to sentiment analysis. It covers a wide range of topics, including sentiment analysis techniques, applications, and evaluation. It valuable resource for anyone who wants to learn more about sentiment analysis.
Provides a background in statistical methods commonly used in bioinformatics. It covers topics such as probability, inference, and linear models, which are foundational concepts for understanding text mining algorithms.
Provides a gentle introduction to text mining. It covers a wide range of topics, including text preprocessing, sentiment analysis, and topic modeling. It valuable resource for anyone who wants to learn more about text mining and analytics.
Provides a comprehensive introduction to information retrieval. It covers a wide range of topics, including text preprocessing, search engine algorithms, and evaluation. It valuable resource for anyone who wants to learn more about information retrieval.
Provides a comprehensive introduction to statistical natural language processing (NLP). It covers a wide range of topics, including text preprocessing, language models, and machine translation. It valuable resource for anyone who wants to learn more about NLP.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/507zz5/hands
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Level
Intermediate
Via
Coursera
Institution
Yonsei University
Instructor
Min Song
Language
English
Transcripts
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This course belongs to a
collection
called
Understanding Modern Finance. It's comprised of seven courses:
- Hands-on Text Mining and Analytics (viewing)
- ¿Qué hacen los buenos directivos? Prioridades de la Alta Dirección
- Core Concepts of Accounting – Numbers and People
- Principles of Corporate Finance – A Tale of Value
- Capstone Project – Analyzing a Real Transaction
- Capital Markets and Financial Institutions – How to Survive Them
- Mergers and Acquisitions – The Relentless Pursuit of Synergy
Good to know
Develops core skills for data scientists, including data preprocessing, sentiment analysis, and topic modeling
Provides hands-on experience using the real world datasets and the text mining toolkit written in Java
Teaches key components of text mining and analytics
Empowers students to develop interesting text mining applications
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