The goal of statistical classification is to use an object's characteristics to identify which class (or group) it belongs to. Such classifiers work well for practical problems such as document classification. The LinearClassification operator identifies the category of text from streaming data according to a model. It is part of the IBM Streams NLP Toolkit... Continue reading How to classify text using the IBM Streams Natual Language Processing (NLP) Toolkit LinearClassification operator?
The Text toolkit in Streams allows you to analyze unstructured text in real time by integrating with the Text Analytics component in IBM BigInsights. In Streams 4.1, the text toolkit has been enhanced to support BigInsights version 4.1. This article will show you how to create a Streams application that uses the latest version... Continue reading Real Time Text Analysis with Streams and BigInsights
In this article, I'm going to give you two simple applications that can serve as starting points for Text Analytics applications on Streams. The first example will use BigInsights Text Analytics to do normalization of terms. The second example will show how to tokenize, both with the simple SPL function, and using the more full-featured... Continue reading Text Analytics To Go
Explore the text toolkit to generate a Text anayltics extractor for Streams and AQL synergy. Continue reading Using the text toolkit to generate SPL code