Text Stream Processing Using Pattern Matching Functions in JMP® Scripting Language
Philip Brown, Senior Applications Developer; Michael Haslam, PhD, Vice President of Application Development, Predictum Inc.
The ability to detect patterns in textual data streams can be important when the data streams are generated by online news media, emails, Twitter feeds and more. With the built-in pattern matching JMP Scripting Language (JSL) functions, rules can be created and then used to pre-preprocess the data stream in preparation for further analysis. In this paper, we provide a brief overview of the JSL pattern matching functions and demonstrate how they can be used to process data fed into JMP via a TCP socket, and also how they can be applied in parsing HTML encoded data.
