Qordoba Adds Emotion Scoring to App Content Text

San Francisco-based Qordoba - which offers a platform through which product development teams can manage the words in their apps - has added a feature to score the emotional tone in product and marketing content.

Qordoba's Strings Intelligence Platform extracts text from strings in source code using patent-pending technology based on 'Affect Detection', a method using AI and machine learning to understand the primary emotion conveyed by written text. The new capability uses natural language processing techniques to identify the emotion associated with a specific combination of words, allowing developers and product teams to understand users' perception of an app.

According to Qordoba co-founder May Habib (pictured): 'For many companies, managing the written copy in their apps is a mess. Copy is created by dozens, and in the enterprise, hundreds, of different authors, with no automated system to see if people are adhering to a company's brand voice or style. Our plan is to have a permanent spot in the tech stack used to manage all the text everywhere. GitHub is used to manage code - Jenkins is used to manage build and deployment - Qordoba is used to manage all of the words in the user experience'.

Web site: www.qordoba.com .