The new capabilities are in Angoss Text Analytics for KnowledgeSTUDIO(R) powered by Salience, Lexalytics text and sentiment analysis engine.
TORONTO, May 31, 2012 /PRNewswire via COMTEX/ -- Supports big data and predictive modeling insights
Angoss Software and
Lexalytics are pleased to announce a partnership that advances Angoss' big data analytics capabilities and improves the accuracy of predictive analytics modeling by increasing the types and volume of data that can be analyzed to include unstructured, text-based data. These new capabilities are now available in Angoss' Text Analytics for KnowledgeSTUDIO®-powered by Salience, Lexalytics' text and sentiment analysis engine.
... Text analytics integration with KnowledgeSTUDIO can mine and analyze unstructured data such as social media (blogs, tweets, forum posts and newsfeeds), call center logs, emails and other forms of text-based communications. Text Analytics for KnowledgeSTUDIO allows you to perform text mining to extract themes and entities, and perform sentiment analysis. Moreover, you can merge this output of text analysis with your structured, proprietary data and perform data mining and predictive analytics with additional types and volumes of data for big data analytics. With more predictive variables and volumes of data, predictive models are made more accurate-improving your predictive and exploratory power for faster, better decision making.