Text Mining

There are many sentiment analysis tools for smaller businesses, but not so many that will incorporate internal documents and bespoke formats (call-centre records for example). The products listed below will do this, and many provide an API for application integration. Methods used vary, and include text mining, natural language processing…

  STATISTICA from Dell embraces most of the analytics tools many organizations will need, both large and small. One of the most powerful aspects of the product set is the level of integration, with seamless connections between disparate modes. Statistics, machine learning, data mining and text mining are all at the disposal…

    The business value of text analytics is fairly straightforward. The large amounts of text based data most organizations possess, acquired and managed at considerable cost, can be analysed in such a way that insights can be gained to improve the efficacy and efficiency of business operations. Text based…

Mu Sigma focuses on decision based technologies to support the framing and solution of business problems. It provides a full suite of applications to address these issues and also offers specific solutions to text mining, social media analytics and statistical analysis. The technology is complemented by a variety of high…

Text mining concerns itself with discovering structure and patterns in unstructured data – usually text. There are many different approaches to this task, some focus on ancillary structures such as taxonomies and ontologies, some focus on semantics and natural language processing, while others use various algorithms to categorise and summarise.…