Text Mining for Marketing
- Offered byCoursera
Text Mining for Marketing at Coursera Overview
Duration | 20 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Text Mining for Marketing at Coursera Highlights
- Earn a certificate from O.P. Jindal Global University
- Add to your LinkedIn profile
Text Mining for Marketing at Coursera Course details
- What you'll learn
- Comprehend what text mining is, what it accomplishes, and what use cases it can be put to in the marketing discipline.
- Examine how theoretical issues are translated into practical applications in text mining for the marketing domain.
- Identify the potent analytical techniques that you can apply to text and other types of data.
- Explain what constitutes sound practices and what does not while analyzing texts for decision-making in marketing.
- 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. This is a beginner-level course that will bring awareness to the present practice of text mining in marketing. It will help you to get familiarized with practical tips about when and where to use various techniques and tools. You will learn about critical theories and concepts with the help of relevant examples. After the successful completion of this course, you will develop a basic understanding of how to use text mining techniques for making marketing decisions. You will gain sufficient knowledge of foundational elements, what is the relationship between textual data and marketing constructs/concepts, and how text mining and marketing work in tandem to produce relevant insights for today's market. It will also provide you with concrete strategies to get started with text mining in marketing. To succeed in this course, you should have experience in/know about/have basic understanding of marketing concepts and data analytics techniques. Students must understand the difference between data analytics and text analytics.
Text Mining for Marketing at Coursera Curriculum
Introduction to Text Mining for Marketing
Course Introduction
Meet Your Instructor
Introduction to Text Mining for Marketing
Definition of Text Mining and Marketing
Reasons for Using Text Mining in Marketing
Dealing with Text
Course Overview
Essential Reading: Who Should Read This Book? and Where We Find Text?
Essential Reading: Sense and Sensibility in Thinking About Text
Essential Reading: A Few Places We Will Not Be Going
Essential Reading: Customer Value
Introduction to Text Mining for Marketing
Definition of Text Mining and Marketing
Reasons for Using Text Mining in Marketing
Dealing with Text
Application of Text Mining in Marketing
Customer Feedback Analysis
Brand Monitoring and Reputation Management
Competitive Analysis
Predictive Analysis and Customer Segmentation
Essential Reading: Text Mining of Online Hotel Reviews
Essential Reading: Sentiment Analysis for Reputation Management
Essential Reading: Life Cycle Marketing Strategies
Essential Reading: An Easy Primer to Predictive Analytics for Marketers
Customer Feedback Analysis
Brand Monitoring and Reputation Management
Competitive Analysis
Predictive Analysis and Customer Segmentation
Customer Feedback Analysis
Weekly Summative Assessment: Introduction and Application of Text Mining in Marketing
Text Mining Techniques for Marketing - I
Text Mining Techniques for Marketing
Text Preprocessing Techniques
Sentiment Analysis
Topic Modeling
Essential Reading: Social Listening and Text Analysis
Essential Reading: Processing and Understanding Text
Essential Reading: In the Mood for Sentiment (and Counting)
Essential Reading: Topic Modeling
Text Mining Techniques for Marketing
Text Preprocessing Techniques
Sentiment Analysis
Topic Modeling
Text Mining Techniques for Marketing - II
Named Entity Recognition
Text Classification
Topic Clustering
Bayes Nets or Bayesian Networks
Essential Reading: Named Entity Recognition
Essential Reading: Classifications That Grow on Trees
Essential Reading: Putting Text Together
Essential Reading: All in the family with Bayes Nets
Named Entity Recognition
Text Classification
Topic Clustering
Bayes Nets or Bayesian Networks
Named Entity Recognition
Weekly Summative Assessment: Text Mining Techniques for Marketing
Challenges - I
Challenges and Limitations of Text Mining in Marketing
Accuracy of Text Mining Techniques
Data Quality and Reliability
Data Privacy
Essential Reading: Text Mining: Challenges and Future Directions
Essential Reading: Text Mining: Techniques, Applications, and Issues
Essential Reading: Choosing the Right Customer or Segment
Essential Reading: Privacy and the Difference Between Delightful and Invasive
Challenges and Limitations of Text Mining in Marketing
Accuracy of Text Mining Techniques
Data Quality and Reliability
Data Privacy
Challenges - II
Lack of Context
Complex Data Analysis and Interpretation
Cost
Technical Skills and Expertise
Essential Reading: Semantic Issues
Essential Reading: Text Analytics Needs to Follow Good Analytic Principles
Essential Reading: Analyzing Text Has More Costs Than You May Expect
Essential Reading: Career Advice for Aspiring Predictive Marketers
Lack of Context
Complex Data Analysis and Interpretation
Cost
Technical Skills and Expertise
Lack of Context
Weekly Summative Assessment: Challenges of Text Mining Techniques
Future Directions
Future Directions of Text Mining in Marketing
Advancements in Machine Learning and Artificial Intelligence
Integration with Other Marketing Technologies
New Sources of Data and Analysis
Essential Reading: Where We May Be Going
Essential Reading: What Role Does Text Analytics Play?
Essential Reading: Best Practices for Text Analytics
Essential Reading: New Areas That May Use Text Analytics in the Future
Future Directions of Text Mining in Marketing
Advancements in Machine Learning and Artificial Intelligence
Integration with Other Marketing Technologies
New Sources of Data and Analysis
Implications
Implications for Marketing Practice and Research
Ethical Concerns
Summary
Conclusion
Essential Reading: Text Mining for Market Prediction
Essential Reading: Ethical Issues in Text Mining for Mental Health
Essential Reading: Summary
Essential Reading: The Future of Text and Web Analytics
Implications for Marketing Practice and Research
Ethical Concerns
Summary
Conclusion
Ethical Concerns
Weekly Summative Assessment: Future Directions and Implications
Course Wrap-up
Graded Quiz: Future Directions and Implications
Text Mining for Marketing at Coursera Admission Process
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