ABSTRACT
Text Analytics has already been widely deployed in enterprise applications for data mining and text extraction. Classification trees are a statistical grouping method that works better for Text Analytics than regression models. There are any number of free Text Analytics tools that organize information, some of them surprisingly powerful, but in a narrow frame of data, limited to a small number of posts that are arranged to be processed by the tool. Many of the high-powered text analytics tools use statistical engines to organize data. This type of software is not intended to be user-friendly. Treemaps are produced by many kinds of software. Treemaps can also be broken down into subgroupings which are also very useful. The software can decode basic emotions via Text Analytics—it’s being done to images and video streams. Text Analytics can help identify this increase, as well as the ratio of positive/negative posts relating to the promotion.
