MeaningCloud Adds New Text Analysis Features

In New York, semantic text analytics platform MeaningCloud has expanded its market and competitive intelligence offering with the addition of new features.

MeaningCloud offers plug-ins to extract the meaning of any kind of unstructured content, from social media conversations to internal files. Its text analytics functions can be graphically customized to each specific domain, allowing semantic analysis to be embedded into any application through the firm's pay-per-use, web-based APIs.

In addition to technologies that identify mentions of companies, brands and concepts and classify content thematically, the firm has developed new features to extract meaningful semantic relationships between topics, discover new emerging themes, and automatically summarize documents. These tools enable a pool of external content pieces to be converted into a 'knowledge network', which the company says is easier to query and exploit, and from which 'groundbreaking' conclusions can be drawn.

CEO José Gonzalez (pictured) comments: 'With its tools for automatic summarization, the discovery of emerging topics and the extraction of meaningful relationships from unstructured content, our platform simplifies, accelerates and optimizes market and competitive intelligence processes and facilitates the generation of game-changing insights. Manual processes make market intelligence slow and ineffective. In contrast, MeaningCloud's deep text analytics provides a structured flow of insights that are easy to exploit'.

Web site: www.meaningcloud.com .

All articles 2006-23 written and edited by Mel Crowther and/or Nick Thomas, 2024- by Nick Thomas, unless otherwise stated.