PASW® Text Analytics 13 – Specifications

Gain Valuable Insights
with Text Analytics
SPSS Inc.’s PASW Modeler* data mini...
Whether you’re analyzing e-mails, RSS feeds, blogs, call                        ■   Marketing campaigns—Improve campaign e...
For example, a company that wants to analyze call center
PASW Text Analytics features*                                    Text analytics modeling node                      ■   Inc...
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Gain Valuable Insights with Text Analytics


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Gain Valuable Insights with Text Analytics

  1. 1. PASW® Text Analytics 13 – Specifications Gain Valuable Insights with Text Analytics SPSS Inc.’s PASW Modeler* data mining workbench Powered by SPSS Inc.’s natural language processing (NLP) enables organizations to achieve measurable results by technology, PASW Text Analytics pulls key concepts from basing decisions on patterns and associations found in many types of unstructured data and groups them into their data. But did you know that up to 80 percent of your categories. Extracted concepts, opinions, and categories organization’s data is contained in textual form? are then combined with structured data and applied to predictive models to provide valuable insights into actions, The customer e-mails, call center notes, open-ended survey behaviors, patterns, and associations. responses, Web forms, and other text sources that your organization captures—including content from RSS feeds, Analyze all types of text from multiple languages such as blogs and news feeds—contain up to four times as This version of PASW Text Analytics offers you the ability much valuable data as your organization’s structured data to create and share text analysis packages (TAPs), which stores. This means that data mining projects focusing only are categories and linguistic resources that control the on structured data may use less than 20 percent of the extraction process. Three pre-built TAPs are included for information available. customer, employee, and product satisfaction analysis—or you can also build your own TAPs. All TAPs created in this PASW Text Analytics* enables you to combine this valuable version of PASW Text Analytics are available in English only unstructured data with traditional structured data to and can also be used in the latest version of PASW Text significantly increase your understanding of customers, Analytics for Surveys*, and vice versa. the public, and other groups. This product transforms PASW Modeler into a fully integrated data and text analytics workbench. You can perform both text analytics and data mining within the interactive, visualization-based PASW Modeler environment. * PASW Modeler, PASW Text Analytics, and PASW Text Analytics for Surveys, formerly called Clementine®, Text Mining for Clementine, and SPSS Text Analysis for Surveys™, are part of SPSS Inc.’s Predictive Analytics Software portfolio.
  2. 2. Whether you’re analyzing e-mails, RSS feeds, blogs, call ■ Marketing campaigns—Improve campaign effectiveness center logs, or satisfaction surveys, you’ll save time and and revenue. For example, analyze inbound customer effort while gaining a competitive advantage. You may calls in real time to provide better product and service also use customized libraries from an earlier text analytics recommendations. Complement Net Promoter® Score project. Or, if you don’t have any pre-defined categories or analysis by really understanding why your customers are specific dictionaries to use, you can create your own and promoters or detractors. then use the software to refine them. ■ Cross-selling—Improve sales by using information about customer preferences to better target products to existing customers ■ Churn prevention—Discover why some customers leave— and take steps to prevent defection—by analyzing customer communication records for recurring problems or complaints that precede churn ■ Drug discovery—Find relationships in chemical and biomedical databases ■ Market intelligence—Survey competitor and industry Web sites, RSS feeds, including blogs and news feeds, and other publicly available textual information to The new built-in customer satisfaction text analysis package, (TAP), has been used to automatically analyze and categorize customer feedback. Results maintain a current view of your competitors can then be directly integrated to predictive models for better prediction of customer behavior. ■ Security—Discover potentially suspect behavior by PASW Text Analytics also supports Language Weaver™, analyzing Web site content, chat rooms, e-mails, blogs, a provider of software that automates human language and other sources of information, and identify patterns translation. As a result, PASW Text Analytics’ use of text and associations in the data link analysis (TLA) technology can help you quickly identify ■ Fraud—Identify potentially fraudulent patterns in banking and extract sentiments, such as preferences and opinions, transactions or insurance claims and use investigative from text in more than 30 languages**. By capturing the resources more effectively attitudes and thoughts of individuals across more channels and markets, you can gain a more complete view of your Boost productivity, improve predictive quality and accuracy customers and constituents and build more accurate Text analytics is an iterative process. Regardless of what predictive models faster. type of content you analyze, you’ll likely re-extract concepts and re-categorize responses using different category Add value throughout your organization definitions or coding schemes, different term or synonym Text analytics can be used in nearly any business or definitions, or different groupings of responses. You may research situation that involves unstructured data. Here are repeat this process several times before you’re satisfied just some examples of PASW Text Analytics applications: with the results. ■ Product development and refinement —Identify trends in complaints or requests by analyzing call center logs, PASW Text Analytics simplifies and speeds this process. customer e-mails, open-ended survey responses, The new Category Rule Editor enables you to create rules and RSS feeds, including blogs and news feeds. Use for categorizing complex concepts and filtering out errors. this information to improve existing products and The software automatically and quickly classifies concepts, services and develop successful new offerings. extracts results, and groups them. You can even train ** Translate your non-English data into English by purchasing a Language Weaver license.
  3. 3. For example, a company that wants to analyze call center notes can use the Resource Editor to adjust the software’s dictionaries to reflect acronyms, abbreviations, and slang typically found in call transcripts. Or a pharmaceutical company can use the Resource Editor to set the included genomics dictionary in PASW Text Analytics as its default. Deploy into operational systems In order to make the best use of your textual data, you need to be able to use it throughout your organization. Text insights deployed through the software’s predictive models Users can navigate through sentiment analysis maps and directly get back to a customer’s own words. to operational databases provide value to areas throughout the extractor to easily handle blogs and their related your organization. And you can deploy any part of the text URLs. The end result? PASW Text Analytics provides or data mining process by using PASW Modeler Solution more accurate categorization and extraction of a wider Publisher***. variety of text—and the potential for more sophisticated analysis—than manual methods. To help manage your analytical assets and automate analytical processes, use PASW Text Analytics with PASW Unlock the power of text—no linguists required Collaboration and Deployment Services***. Unlike other text analytics products, you do not need a linguistic background to use PASW Text Analytics. And You can also use insights derived from text data to achieve because PASW Text Analytics uses an interactive interface more accurate results with SPSS Inc.’s predictive applications. within PASW Modeler, text analytics is straightforward and For example, improve real-time and batch scoring, provide efficient. For example, interactive graphs enable you to explore real-time recommendations to inbound callers, or speed and display text data and patterns for instant analysis. insurance claim processing. You can easily customize concept dictionaries for a particular If your organization collects customer insight through an domain area by using the Resource Editor, an integrated enterprise feedback management (EFM) solution, PASW Text resource for managing the text extraction process. This Analytics can help you understand the opinions, attitudes, enables you to find relevant concepts and associations faster. and preferences of your customers, employees, citizens, business partners, and others. Create customized templates and libraries for specific business applications directly from the main PASW Modeler PASW Text Analytics’ deployment capabilities make textual toolbar. You can reuse these valuable resources with other insights available to business users in critical areas, so your products and applications, including PASW Text Analytics entire organization benefits from a comprehensive, 360- for Surveys. The linguistic resources in PASW Text Analytics degree view of customers or, for government agencies, the support a range of industries and applications, including citizens they serve. sentiment analysis, CRM, security and intelligence, market intelligence, life sciences (genomics and MESH), and IT. For examples of text analytics, visit and choose “Text Mining” under “By Solution.” *** PASW Modeler Solution Publisher and PASW Collaboration and Deployment Services, formerly called Clementine Solution Publisher Runtime and SPSS Predictive Enterprise Services™, are part of SPSS Inc.’s Predictive Analytics Software portfolio.
  4. 4. PASW Text Analytics features* Text analytics modeling node ■ Include opinions, semantic relationships, Methodology ■ Use pre-built Text Analytics Packages (TAPs), and linked events in deployable predictive PASW Modeler and PASW Text Analytics categories and linguistic resources, for models support the CRoss-Industry Standard Process customer/product/employee satisfaction ■ Reveal complex relationships through for Data Mining (CRISP-DM), which enables analysis** interactive graphs that show multiple analysts to focus on solving business ■ Build your own TAPs semantic links between two concepts problems, rather than on programming. ■ Create rules to categorize complex PASW Text Analytics enables you to merge information and filter out errors Resource Editor unstructured data with structured data during ■ Create clusters based on term co-occurrence ■ Support specific industries and the CRISP-DM process. In addition, PASW using concept clustering algorithms, which applications using verticalized templates Text Analytics uses a proven combination of provide an at-a-glance view of main topics and libraries for sentiment analysis, CRM, natural language processing (NLP) techniques and the way in which they are related security and intelligence, market intelligence, and predictive analytics to efficiently extract ■ Intelligently group text documents and life sciences, and IT meaningful information from unstructured data. records based on content, using text ■ Create and edit custom libraries directly classification algorithms in the PASW Text Analytics interface Linguistic extraction – Aggregates concepts from a wide variety ■ Define and edit: ■ Extract text data from files or a database of unstructured text data and groups them – Domain-specific terms ■ Work with multilingual text. Select from into a small number of categories – Non-linguistic entities seven native language extractor options: – Includes new grouping techniques to – Synonyms Dutch, English, French, German, Italian, create categories from scratch – Concept libraries Portuguese, and Spanish – Reuses categories, enabling the scoring ■ Share library resources with other ■ Translate more than 30 languages into of any new text documents and records products and applications, including English using Language Weaver add-on based on the text they contain PASW Text Analytics for Surveys options – Accelerates and improves data ■ Edit the CRM, opinion, market intelligence, ■ Manage errors in punctuation and spelling management security intelligence, and genomics ■ Extract domain-specific concepts such ■ Drag and drop text records to better teach dictionaries as uniterms, expressions, abbreviations, categories acronyms, and more ■ Identify best matching documents at a Deployment ■ Calculate synonyms using sophisticated glance with the new relevance ranking ■ Deploy the entire data mining process linguistic algorithms and embedded or ■ Enable advanced concept selection and automatically with Real Time Scoring Service user-specified linguistic resources deselection for use in subsequent PASW ■ Send text analytics extractions directly ■ Name concepts by person, organization, Modeler predictive modeling applications to PASW Modeler for export into PASW term, product, location, and other ■ List extracted concepts by type, frequency, Decision Management Services, and then user- defined types document coverage, and other user-defined into specific business-related applications ■ Extract non-linguistic entities such as classifications ■ To help manage your analytical assets address, currency, time, phone number, ■ Discover how concepts are interrelated, with and analytical processes, use PASW Text and social security number (SSN) the new concept map Analytics with PASW Collaboration and – Templates for non-linguistic entities are ■ Highlight synonyms used for each selected Deployment Services available for all seven languages concept ■ Included opinion, market intelligence, ■ Convert selected concepts to structured Open integration security intelligence, and genomics diction- form for use in PASW Modeler predictive ■ Easily integrates external linguistic resources aries enable relationship extraction; the modeling algorithms ■ Accesses any text file or relational database opinion dictionary also enables sentiment ■ Access all text analytics capabilities via PASW Modeler’s high-performance extraction (such as likes and dislikes) through the text analytics node palette in ODBC drivers ■ Cache extraction results during an PASW Modeler ■ Supports the industry-standard Predictive interactive workbench session for Modeling Markup Language (PMML) reuse later Text link analysis ■ Supports standard text document formats, ■ Identify and extract sentiments (for example, including plain text, PDF, HTML, Microsoft® Web feed node likes and dislikes) from text in Dutch, Office, and XML ■ Easily retrieve and analyze text from English, French, German, and Spanish ■ Works with multilingual text natively (Dutch, RSS feeds, such as blogs and news feeds ■ Identify links and associations between, English, French, German, Italian, Portuguese, ■ Enhanced retrieval of blog times, date han- for example, people and events, or and Spanish), integrates with Japanese in dling, and a new filtering algorithm to strip diseases and genes other products, and uses translations via out advertising and other unwanted text ■ Identify and extract content from URLs Language Weaver add-on options within blogs * Features subject to change based on final product release. ** English-language only To learn more, please visit For SPSS office Symbol indicates a new feature. locations and telephone numbers, go to SPSS is a registered trademark and the other SPSS Inc. products named are trademarks of SPSS Inc. All other names are trademarks of their respective owners. © 2009 SPSS Inc. All rights reserved. MTA13SPC-0509