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Chapter 2
New features in IBM SPSS Modeler Premium
IBM® SPSS® Modeler Premium is a separately-licensed p r oduct that provides additional features
to those supplied by IBM® SPSS® Modeler Professional. Previously, SPSS Modeler Premi um
included only IBM® SPSS® Modeler Text Analytic s . The f ull set of SPSS Modeler Premium
features is now as follows.
SPSS Modeler Text Analytics
IBM® SPSS® Modele r Entity Analytics
IBM® SPSS® Modeler Social Network Analysis
SPSS Modeler Text Analytics uses advanced linguistic technologies and Natural Language
Processing (NLP) to rapidly process a large variety of unstructured text data, extract and organize
the key concepts, and group these concepts into categories. Extracted concepts and categories
can be combined with existing structured data, such as demographics, and applied to modeling
using the full suite of IBM® SPSS® Modeler data mining tools to yield better and more focused
decisions.
IBM SPSS Modeler Entity Analytics adds a completely new dimens ion to SPSS Modeler
predictive analytics. Whereas predictive analytics attempts to predict future behavior from past
data, entity analyt ics focuses on improving the coherence and consistenc y of current data by
resolving identity conflicts w ithin th e records the mselves. An identity can be that of an individual,
an organiza tion, an ob ject, or any other entity fo r which ambiguity might exist. Identity resolution
can be vital in a number of fields, including customer relations hip management, fraud detection,
anti-money laundering, and national and international security.
IBM SPSS Modeler Social Network Analysis transform s information about relationships into
fields that characterize the social behavior of individuals and gro ups. Using data describing the
relationships underlying social networks, IBM SPSS Modeler Social Network Analysis identifies
social leader s who influence the behavior of o thers in the network. In addition, you can determ ine
which people are most affected by other network participants. By combining these result s with
other measures, you can create comprehen sive profiles of individuals on which to base your
predictive models. Models that include this social information will perform better than models
that do not.
Note: SPSS Modeler Professional must be insta lled before installing any of the SPSS Modeler
Premiu m features.
New Nodes in This Release
IBM SPSS Modeler Professional
A generalized linear mixed model (GLMM) extends the linear model so that the target
can have a non-normal distribution, is linearly related to the factors and covariates via
a specified link function, and so that the observations can be correlated. Generalized
linear mixed models cover a wide variety of models, from simple linear regression to
complex multilevel models fo r non-normal longitudinal data.