Case Study: Social Media (Sentiment Analysis) 

Social Media - A platform to sell, solve & communicate

Background: A US based telecom client that provides wireless service to customers wants 

to address customer concerns expressed in social media platforms like Facebook, Twitter, Blogs, Company Forums. This client uses Attensity 360 & Radian6 as the listening platforms to capture data posted on various social media platforms.

The objective of this project was to accurately classify customer posts into sentiments- Positive Feedback, Negative Feedback (Actionable & Non Actionable)

 

Approach: A series of simulation based key word/words algorithm was built in a statistical software. The accuracy of the algorithm was tested on the manual classification of the posts.

 

Impact: This project helped the client to accurately identify both direct & indirect mentions. The client is on able to reach out to customers with concerns more effectively than before. This  helped increase customer loyalty, resulting in the increase of CSAT scores.

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