A leading communications provider used Amenity’s text analytics platform to identify key areas of customer concern from social media data.
An Enterprise company wanted to use social media data to better understand areas of customer concern. Amenity parsed through this company's social media mentions to reveal a detailed, customized picture of consumer sentiment.
By text mining underutilized consumer data Amenity was able to perform a social sentiment analysis for this company.
Using its proprietary NLP API, Amenity created customized taxonomies that were relevent to social sentiment analysis. Amenity’s text mining software then performed information extractions on key topics & areas of concern. These topics were then sorted into event types.
Sentiment scores were created based on the number of positive and negative extractions associated with a given topic. The output was a detailed dataset on the Voice of the the Customer that assessed brand perceptions and the topics that drove its customer sentiment.
As part of an ongoing effort to systematically and transparently incorporate ESG in its credit ratings review, a global financial services company turned to Amenity to identify where and when ESG factored as a material credit consideration in its published research documents.
A Third-Party Risk Management team from a large corporation uses Amenity’s NLP to provide real-time alerts about the impact of COVID-19 on any of their 1,200 suppliers.
An ESG team within a large banking client partnered with Amenity to configure an ESG model to surface all ESG stories impacting banks worldwide, generating data driven insight on emerging ESG topics and the client's performance across each event type.