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Chapter 2

New features in IBM SPSS Modeler Premium

IBM® SPSS® Modeler Premium is a separately-licensed product that provides additional features
to those supplied by IBM® SPSS® Modeler Professional. Prev iously,SPSS Modeler Premi um
included only IBM® SPSS® Modeler Text Analytics . The full set of SPSS Modeler Premium
features is now as follows.
SPSS Modeler Text Analytics
IBM® SPSS® Modeler 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 focuse d
decisions.
IBM SPSS Modeler Entity Analytics adds a completely new dimension to SP SS Modeler
predictive analytics. Whereas predictive analyti cs attempts to predict future behavior from past
data, entity analytics focuses on improving the coherence and consistency of current data by
resolving identity conflicts within the records themselves. A n identity can be that of an individual,
an organization, an object, or any other entity for which ambiguity might exi st. Identity resolution
can be vital in a number of fields, including customer relationship man agement, fraud detection,
anti-money laundering, and national and international security.
IBM SPSS Modeler Social Network Analysis transforms information abou t relationships into
fields that characterize the social behavior of individuals and groups. Using data describing the
relationships underlying social networks, IBM SPSS Modeler Social Network Analysis identifies
social leaders who influence the behavior of others in the network. In additio n, you can determine
which people are most affected by other network participants. By comb ining these results with
other measures, you can create comprehensive profiles of individuals on which to base your
predictive models. Models that includ e this social information will perform better than models
that do not.
Note: SPSS Modeler Professional must be installed befor e installing any of the SPSS Modeler
Premium features.
New Nodes in This Release
IBM SPSS Modeler Professional
Ageneralized line armix ed model (GLMM) extends the linear model so that the target
canhave a non -normal distribution, is linearly related to the factors and covariates via
a specifiedlin k function, and so that the observations can be correlated. Generalized
linearm ixed models cover a wide variety of models, from simple linear regression to
complex multilevel models for non-normal longitudinal data.