Lexalytics’ new Salience Engine 3.2 also enhances the directory structure for managing key entities like companies, people, products and brands by allowing users to access multiple directories at the same time and customize access to analyzed content.
Additionally the software improves the normalization of how information collected is associated with key names and brands with each other for example, understanding that Coca-Cola and Coke are the same entity.
Salience Engine 3.2 also now supports Ruby and C# languages, in addition to C, PHP, Python and Java.
Lexalytics’ Salience Engine sits at the core of all of the company’s text analytics applications providing identify extraction, relationship matching, document summarization and sentiment and tone extraction.
According to officials at Amherst, Massachusetts-based Lexalytics, the software is used by marketing, PR and media research firm to understand how customers are responding (negatively or positively) to products and brands. The software works by analyzing feedback documents, website fields, blogs and other public information and messaging sources to glean opinion and sentiment.
Lexalytics was founded in 2004 and its software is used by companies like Cisco Systems and FAST Search.
