Challenge and Opportunity
A Keiter Technologies client and large consumer goods company was struggling to craft strong responses to posts on social media about its products.
- The company was using social media as a communication’s tool to deliver important information about its various products.
- Given the nature of those products, the company received negative reviews and feedback from advocacy groups and individuals.
- Using Python and NLTK, our team was able to create an algorithm that predicted the effects of a response type like apologetic, humor, information, or aggression.
The client’s team was able to be more effective and efficient with responding to negative reviews and posts on social media.
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