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About Identifying Customer Needs From User-Generated Content
The document proposes a machine learning approach to identify customer needs from large amounts of user-generated content like online reviews more efficiently than traditional methods. It compares customer needs identified from interviews versus user content, and evaluates if machine learning improves the identification of unique customer needs. The authors analyze 12,000 sentences of oral care product reviews coded by experts and show that user content is as valuable as interviews for identifying customer needs, and machine learning makes the process more efficient.
Detailed Information
| Author: | ['Roshni Gill'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 50 |
| Language: | English |
| Format: | |
| Price: | FREE |
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