IDS Case Study: Using Data to Respond to Social Media Post

By Keiter CPAs

IDS Case Study: Using Data to Respond to Social Media Post

Can I Automate Social Media Commenting for my Business?

Data Science can help you achieve your business goals with tailored advice specific to your organization. Learn more about how Keiter Data Solutions solved a similar problem for one of our clients in the below case study.


Challenge and Opportunity

A 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 team was more effective and efficient with responding to negative reviews and posts on social media.


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About the Author

Keiter CPAs

Keiter CPAs

Keiter CPAs is a certified public accounting firm serving the audittax, accounting and consulting needs of businesses and their owners located in Richmond and across Virginia. We focus on serving emerging growth businesses and companies in the financial servicesconstructionreal estatemanufacturingretail & distribution industries and nonprofits. We also provide business valuations and forensic accounting servicesfamily office services, and inbound international services.

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The information contained within this article is provided for informational purposes only and is current as of the date published. Online readers are advised not to act upon this information without seeking the service of a professional accountant, as this article is not a substitute for obtaining accounting, tax, or financial advice from a professional accountant.


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