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Course Description

In today's data-driven world, being able to quantify and analyze sentiment in text is a powerful skill for understanding customer feedback, social media trends, and more. This course gives you the expertise to transform text into meaningful sentiment scores using key libraries like AFINN, Bing, and NRC.

You will begin by working with these sentiment analysis tools to categorize and quantify emotional tones in documents. From there, you will calculate and visualize sentiment scores using tools like line plots, bar charts, and word clouds. Finally, you will compare sentiment across multiple documents and track changes over time.

By the end of the course, you will be ready to interpret and act on sentiment trends in real-world applications, offering valuable insights for business strategies, customer relations, and market analysis.

You are required to have completed the following courses or have equivalent experience before taking this course:

  • Mastering NLP Fundamentals
  • Exploring Summarization and Visualization

Faculty Author

Sumanta Basu; Sreyoshi Das

Benefits to the Learner

  • Describe and compare common sentiment libraries for converting text to numeric or categorical data
  • Summarize and visualize sentiments for answering univariate questions
  • Summarize and visualize sentiments for answering multivariate questions and examining the evolution of sentiments over time

Target Audience

  • Data scientists
  • Computer scientists
  • Analysts
  • User behavior and UX teams
  • Researchers
  • Social scientists

Applies Towards the Following Certificates

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Enroll Now - Select a section to enroll in
Type
2 week
Dates
Aug 20, 2025 to Sep 02, 2025
Course Fee(s)
Standard Price $999.00
Type
2 week
Dates
Nov 12, 2025 to Nov 25, 2025
Course Fee(s)
Standard Price $999.00
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