Schulung - IBM 0A108G - Introduction to IBM SPSS Modeler Text Analytics (v18.1.1)

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DURCHFÜHRUNG MIT TERMIN
Nr.
30371

Dauer
16h00

Preis
1.600,00 € netto
1.904,00 € inkl. 19% MwSt.

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Overview

This course (formerly: Introduction to IBM SPSS Text Analytics for IBM SPSS Modeler (v18)) teaches you how to analyze text data using IBM SPSS Modeler Text Analytics. You will be introduced to the complete set of steps involved in working with text data, from reading the text data to creating the final categories for additional analysis. After the final model has been created, there is an example of how to apply the model to perform churn analysis in telecommunications. Topics include how to automatically and manually create and modify categories, how to edit synonym, type, and exclude dictionaries, and how to perform Text Link Analysis and Cluster Analysis with text data. Also included are examples of how to create resource tempates and Text Analysis packages to share with other projects and other users.

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Zielgruppe

Wer sollte teilnehmen:

Zielgruppe

Audience

Users of IBM SPSS Modeler responsible for building predictive models who want to leverage the full potential of classification models in IBM SPSS Modeler.

Voraussetzungen

Prerequisites

• General computer literacy
• Prior completion of Introduction to IBM SPSS Modeler and Data Science (v18.1.1) is recommended.

Trainingsprogramm

Trainingsprogramm

Course Outline

Unit 1 - Introduction to text miningDescribe text mining and its relationship to data miningExplain CRISP-DM methodology as it applies to text miningDescribe the steps in a text mining projectUnit 2 - An overview of text miningDescribe the nodes that were specifically developed for text miningComplete a typical text mining modeling sessionUnit 3 - Reading text dataReading text from multiple filesReading text from Web FeedsViewing text from documents within ModelerUnit 4 - Linguistic analysis and text miningDescribe linguistic analysisDescribe Templates and LibrariesDescribe the process of text extractionDescribe Text Analysis PackagesDescribe categorization of terms and conceptsUnit 5 - Creating a text mining concept modelDevelop a text mining concept modelScore model dataCompare models based on using different Resource TemplatesMerge the  results with a file containing the customer’s demographicsAnalyze model resultsUnit 6 - Reviewing types and concepts in the Interactive WorkbenchUse the Interactive WorkbenchUpdate the modeling nodeReview extracted conceptsUnit 7 - Editing linguistic resourcesDescribe the resource templateReview dictionariesReview librariesManage librariesUnit 8 - Fine tuning resourcesReview Advanced ResourcesExtracting non-linguistic entitiesAdding fuzzy grouping exceptionsForcing a word to take a particular Part of SpeechAdding non-Linguistic entitiesUnit 9 - Performing Text Link AnalysisUse Text Link Analysis interactivelyCreate categories from a patternUse the visualization paneCreate text link rulesUse the Text Link Analysis nodeUnit 10 - Clustering conceptsCreate ClustersCreating categories from cluster conceptsFine tuning Cluster Analysis settingsUnit 11 - Categorization techniquesDescribe approaches to categorizationUse Frequency Based CategorizationUse Text Analysis Packages to Categorize dataImport pre-existing categories from a Microsoft Excel fileUse Automated Categorization with Linguistic-based TechniquesUnit 12 - Creating categoriesDevelop categorization strategyFine turning the categoriesImporting pre-existing categoriesCreating a Text Analysis PackageAssess category overlapUsing a Text Analysis Package to categorize a new set of dataUsing Linguistic Categorization techniques to Creating CategoriesUnit 13 - Managing Linguistic ResourcesUse the Template EditorShare LibrariesSave resource templatesShare TemplatesDescribe local and public librariesBackup ResourcesPublishing librariesUnit 14 - Using text mining modelsExplore text mining modelsDevelop a model with quantitative and qualitative dataScore new dataAppendix A - The process of text miningExplain the steps that are involved in performing a text mining project

Objective

Please refer to course overview

Schulungsmethode

Schulungsmethode

presentation, discussion, hands-on exercises

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Schulung - IBM 0A108G - Introduction to IBM SPSS Modeler Text Analytics (v18.1.1)