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

By Keiter Technologies

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 Keiter Technologies client and large consumer goods company was struggling to craft strong responses to posts on social media about its products.


Our Approach

  • 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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About the Author

Keiter Technologies

Keiter Technologies

Keiter Technologies focuses on serving businesses with their strategic technology needs through data science, cybersecurity, and IT audit and consulting.

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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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