Organizations around the world use customer feedback to guide their decisions. Learning to analyze this information is a valuable skill in any job.
This course walks you step-by-step through thematic analysis, the process of analyzing data—such as customer reviews—to turn it into actionable insights using artificial intelligence tools.
You’ll start by learning how to tag and group customer reviews into key topics and broader categories. Next, you’ll learn how to quantify their impact using sentiment analysis and generate summary reports with actionable recommendations. During the process, you’ll develop the skills needed to select the most suitable AI tool for each task, whether it’s a large language model (LLM), a chatbot capable of writing and executing its own code, or a spreadsheet application like Excel.
You will develop the necessary skills to transform text data into useful insights for any organization and position yourself as a professional capable of solving problems with the support of artificial intelligence.
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Apply AI - Analyze Customer Reviews
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Duration
6h (Online)
Objectives
Upon completion of the course, students will be able to:
- Understand how to transform customer feedback into actionable insights through AI-powered thematic analytics.
- Analyze customer reviews to identify key themes and main categories within the feedback.
- Evaluate the impact of feedback through sentiment analysis.
- Generate summary reports with actionable recommendations based on data analysis.
- Select the most appropriate AI tool for each task, such as language models, chatbots capable of executing code, or spreadsheet applications.
- Understand the importance of ensuring the reliability of results through human supervision in AI-assisted analysis.
Program
- Module 1 - Apply AI: Analyze customer reviews.
- Prepare the data.
- Label topics and relevance.
- Human review of topics and relevance.
- Filter by topic.
- Group topics into categories.
- Translation.
- Human in the loop.
- Delete duplicate rows.
- Label feeling.
- Review sampling.
- Generation of recommendations.