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About Timoshenko - Hauser Customer Needs From UGC April 2017
This document summarizes a research paper that proposes using machine learning techniques to identify customer needs from user-generated content like online reviews. The paper develops and evaluates a hybrid approach using deep learning models to filter out non-informative content and identify a diverse set of sentences for manual review by experts. Comparing identified customer needs from user-generated content to those from traditional market research interviews, the paper finds user-generated content can provide a comparable set of customer needs within the same cost constraints.
Detailed Information
| Author: | ['Roshni Gill'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 38 |
| Language: | English |
| Format: | |
| Price: | FREE |
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