Reading Between the Lines of Customer Reviews
Customer reviews will mean a lot more with this machine learning model. A new study co-authored by Yale SOM Professor K. Sudhir uses natural-language analysis to learn from what customers are saying and get deeper and previously missing insights from customer reviews.
Large amounts of potentially useful information about consumer opinions gathered through surveys, but this unstructured data loses much of the actual feedback. This new model uses natural-language analysis to extract practicable information from written customer reviews.
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