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The case study focuses on the working of Sentiment Analysis on customer reviews on cars to determine its actual worth.
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Difficulty: AdvancedDesigned for those with a technical background or industry experience
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Duration: Approximately 3 hours
Case Overview
- The case familiarizes the learner with application of Text-Analytics techniques visualize & analyze the sentiment of car reviews before make a purchase.
- Deep-dive to the concept of text preprocessing techniques to remove noise and convert the textual data to machine understandable format.
- Working understanding on how to apply EDA techniques such as Word Cloud on Text data to identify the most frequently occurring words in car review and their significance.
- The case enables the learner to clean the text data and apply sentiment analysis to understand customer sentiments and compare it with the public opinion to provide a better idea about a particular car.
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