Subjects Extraction and text data classification by CHERNOFF algorithm and implementation with Java general-purpose computer programming language

The ability of the human brain to classify new stimuli as equivalent to stimuli previously found and categorized, allows the individual to impose order into her/his environment. Without the ability to categorize, the individual would not interact meaningfully with the infinitely diverse number of objects and situations s/he is exposed to and, in fact, life would be chaotic. Secondly, it is cognitively advantageous and economical since it allows one to organize the infinite number of objects and events encountered through life into manageable easily accessible categories. But this meaning fully of environment should transfer by data to the human. A data type we use to reveal preferences and goals through recruiting materials, magazines, and public statements, notes is using text data type. In the age of Information technology (21 century) categorizing and classification of this data family in this huge amount, costs so much. Automated text analysis methods can substantially reduce the costs and time of analyzing massive collections of texts, also understanding the results may be another problem that is solved with data visualization; Data visualization is going to change the way our analysts work with data. They’re going to be expected to respond to issues more rapidly. And they’ll need to be able to dig for more insights look at data differently, more imaginatively. Data visualization will promote that creative data exploration. Below is an instance for data visualization with Chernoff face algorithm, you can see how is easy now to find out the result, with this simple visualization algorithm