Assessing the Press with Sentiment Analysis

Assessing the Press with Sentiment Analysis​

Sentiment scoring is complex. We build a simple yet powerful text analysis tool that required zero coding skills to use.


A major US healthcare provider was struggling to monitor their media coverage. With thousands of articles to review, they were in serious need of a scoring model that could consistently assess the brand sentiment of those articles.


In under eight weeks, we build a natural language processing (NLP) model that rates brand sentiment using nearly 50 predictor variables. We used Alteryx and custom R code to develop a user-friendly workflow and tool that require zero coding skills to utilize.



Our easy-to-use model enables this Fortune 500 company to rate and review thousands of articles in under 15 minutes, ultimately ensuring consistent and objective scoring of their media coverage.

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