Case Study: Social Status achieves fast sentiment analysis at scale with MonkeyLearn

How Social Status implemented sentiment analysis fast and efficiently with MonkeyLearn

Social Status, a social media analytics platform used by digital marketers and advertisers worldwide, needed a faster way to make sense of large volumes of user comments across posts on Facebook, Instagram, YouTube, and Twitter. The team faced a manual, time-consuming challenge in turning nuanced comments into quantitative insights for monthly, quarterly, and campaign reporting.

Using MonkeyLearn’s API-based sentiment analysis and classification models, Social Status automated the analysis of social comments and integrated the system quickly into its platform. With MonkeyLearn, Social Status has analyzed over 2.5 million comments, saved an estimated 7,000 hours, and put 3 models into production, making comment exploration and reporting at scale far more efficient.

Social Status

Tim Hill

Co-Founder & Chief Executive Officer