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Seth Grimes

Welcome

Seth Grimes

Welcome to Seth Grimes's Expert Channel on Text Analytics for the Business Intelligence Network.

Text analytics is a set of technologies and processes that aim to discover and present knowledge - facts, business rules and relationships - previously locked in textual form. Text analytics is the emerging answer to the widely recognized "unstructured information" challenge.

Leading organizations in the spectrum of business domains are harnessing text analytics to meet CRM, marketing, reputation management, publishing and competitive intelligence challenges and a broad variety of operational needs. According to Data Warehousing Institute researcher Philip Russom, "Organizations embracing text analytics all report having an epiphany moment when they suddenly knew more than before."

This channel will help you understand text analytics and how it can help you create competitive advantage.

As channel expert, I will cover technology, applications and implementation strategy including how to integrate text analytics with existing business intelligence, data quality, content management and operational IT programs. I welcome your questions, comments, and suggestions. Please contact me at grimes@altaplana.com to share your thoughts.

Articles

Text Analytics Accuracy: Requirements and Reality
by Seth Grimes
Accuracy is a frequent concern when working with text; the accuracy question is similar to the data quality issue in business intelligence and data warehousing.

Understanding Legal Information and E-Discovery
by Seth Grimes
Text analytics capabilities will allow users to move beyond e-discovery compliance to business-value discovery.

Sentiment Analysis: A Focus on Applications
by Seth Grimes
Text analytics can be applied to extract and analyze attitudinal information from sources as varied as articles, blog postings, e-mail, call-center notes and survey responses.

Sentiment Analysis: Opportunities and Challenges
by Seth Grimes
Sentiment analysis is one of the most exciting applications of text analytics today. It may also be the most challenging.

Voice of the Customer Text Analytics for True 360-Degree Customer and Market Views
by Seth Grimes
Text analytics has opened up new vistas on customer information – on individuals and on broad market segments – by enabling combined analyses.

News

TEMIS Announces Availability of Luxid 5.0
Luxid 5.0 allows each user to understand, analyze, enrich, and share information to turn it into actionable knowledge.

Nucleus Research Recognizes SPSS Predictive Analytics
TMCC relies on SPSS Predictive Analytics software to reliably predict student enrollment, analyze and project future class demand, ensure facilities are properly utilized and help students achieve their academic goals.

SPSS Text Mining gives Organizations the Ability to Extract Sentiments and Relationships from Unstructured Data
With SPSS Text Mining organizations are finding new ways to reduce customer churn, improve productivity, fight crime, detect fraud and increase marketing campaign results.

SPSS Allows Organizations to Analyze Unstructured Data
Analyzing the voice of the customer through surveys and Web 2.0 data with SPSS Text Mining software, and coupling that with existing structured data, permits more accurate results, better predictive modeling and deeper insight into customers.

Clarabridge Announces Availability of Release 3.0
Clarabridge incorporates a range of important new customer-driven capabilities.

more news >

White Papers

Text Technologies in the Mainstream: Text Analytics Solutions, Applications and Trends Membership required to view this content
by Seth Grimes
This white paper concludes a market outlook for the coming year. It looks at recent solution and technology developments that demonstrate the emergence of text analytics into the business mainstream.

Text Mining Market Membership required to view this content
by Seth Grimes
Business, academic, and government markets are primed for the introduction of more sophisticated knowledge tools such as text-mining software that can advance an organization beyond content management to knowledge analytics.

Finding Value in Text Analytics Membership required to view this content
by Seth Grimes
Continued text-analytics success seems inevitable given today's hypercompetitive business climate and the commonly cited estimate that 80 percent of organizational information is in textual form.

European Text Analytics Membership required to view this content
by Seth Grimes
This paper describes text analytics applications of particular European interest. It presents examples of innovative European research projects, programs, and centers and forecasts coming technical and market developments.

What’s Next for Text Membership required to view this content
by Seth Grimes
The shift from a knowledge-discovery to an analytics paradigm is part of text mining’s expansion to support a larger world of enterprise analytics.

more white papers >

Solution Spotlights

	Richard Tanler, CEO of eiVia Richard Tanler shares eiVia’s view of the future, moving analytics from desktop spreadsheets to the Internet and linking cause-and-effect information with predictive analysis.

	Eric Brégand, CEO of TEMIS Eric Brégand describes key applications of Luxid, the TEMIS text mining platform, in the areas of competitive intelligence, scientific intelligence and the voice of the consumer.

	Doug Cogswell, President & Chief Executive Officer for ADVIZOR Solutions Doug Cogswell explains how ADVIZOR combines data visualization with in-memory data management and predictive analytics to provide simpler and more intuitive problem solving capabilities.

Resources

Associations

Text REtrieval Conference (TREC)
The Text REtrieval Conference (TREC) is co-sponsored by the National Institute of Standards and Technology (NIST) and U.S. Department of Defense and features a yearly workshop series. Goals include encouraging information-retrieval research; increasing communication among industry, academia and government by creating an open forum for the exchange of research ideas; and speeding the transfer of technology from research labs into commercial products. A listing of TREC publications published by NIST is available at http://trec.nist.gov/pubs.html.
The Data Warehousing Institute
TDWI provides in-depth, high-quality education and research in the business intelligence and data warehousing industry.

Non-profit Organizations

DAMA International
DAMA, the Data Management Association International, is an international not-for-profit association of data resource management professionals with chapters and members-at-large around the world.

Forums

BioNLP
This list was created for discussions of natural language processing (NLP) of biology text. The topics include, but are not limited to: lexicons (roughly, machine readable dictionaries), word morphology and term classification, information retrieval (IR) based on text analysis and much more.
Text Analytics Discussion Group
This list hosts discussion of text analytics and related technologies, marketing, and implementation. Researchers, vendors, consultants, and end users are all invited to participate.
Text Analytics Wiki
This wiki aims to be a one-stop site for everything related to Text Analytics (also known as Text Mining or Information Extraction). It aims to go well beyond the limits of Wikipedia to provide links to people, organisations, the latest research and news.

Books

Introduction to Information Retrieval
The book aims to provide a modern approach to information retrieval from a computer science perspective. It is based on a course Christopher Manning, Prabhakar Raghavan and Hinrich Schütze have been teaching in various forms at Stanford University and at the University of Stuttgart.
Mining the Talk: Unlocking the Business Value in Unstructured Information
In Mining the Talk, two leading-edge IBM researchers – Scott Spangler and Jeffrey Kreulen – introduce a revolutionary new approach to unlocking the business value hidden in virtually any form of unstructured data – from word processing documents to websites, e-mails to instant messages.
Survey of Text Mining II: Clustering, Classification, and Retrieval
The development of techniques for mining unstructured, semi-structured, and fully-structured textual data has become increasingly important in both academia and industry. This second volume by Michael Berry and Malu Castellanos continues to survey the evolving field of text mining - the application of techniques of machine learning, in conjunction with natural language processing, information extraction and algebraic/mathematical approaches, to computational information retrieval. Numerous diverse issues are addressed, ranging from the development of new learning approaches to novel document clustering algorithms, collectively spanning several major topic areas in text mining.

more resources >

Links

Articles

BI Search and Text Analytics: New Additions to the BI Technology Stack
This report by Philip Russom details how the expansion of the technology stack for business intelligence (BI) and data warehousing (DW) accommodates two relatively new additions, namely BI search and text analytics. Although each stands ably on its own, the two are related in that they tend to operate on unstructured data. Unstructured data is playing a larger role in BI and DW over time, and that role is today supported largely by tools and techniques for BI search and text analytics.
Financial Sector Text Analytics
This article by Seth Grimes covers the application of text analytics to financial information sources in support of better financial decision making; how solutions support lending, investing, insurance, marketing, and trading activities; and the provision of financial information for consumers and businesses.
Issues and Techniques in Text Analytics Implementation
In this article, Victoria Loewengart, the principal research scientist at Battelle Memorial Institute, describes how to streamline the information extraction process.

Miscellaneous

Unstructured Information Management Architecture (UIMA)
UIMA is an open, industrial-strength, scalable and extensible platform for creating, integrating and deploying unstructured information management solutions from combinations of semantic analysis and search components.

Blogs

Breakthrough Analysis
Seth Grimes' blog for Intelligent Enterprise.
Data Makes the World Go 'Round
Fern Halper's blog.
LexaBlog
Lexical thoughts from the analytical edge.

Directories