PRODUCED BY - textanalyticsworld.com · Anna Divoli, Pingar Next Generation Customer Surveys with Text Analytics l Kurt Williams Automated Social Media Theme Extraction l Scott Oliveira

part of

OCTOBER 3-4, 2012SEAPORT WORLD TRADE CENTER

B O S TO N

PRODUCED BY

www.textanalyticsworld.com/boston

Tom ReamyChief Knowledge Architect KAPS Group

Sue FeldmanResearch Vice PresidentSearch and Discovery Technologies IDC

KEYNOTE SPEAKERS

1 © 2012 Rising Media, Inc. Note: Conference agenda subject to change. Visit website for current information. www.textanalyticsworld.com/boston

An Invitation

Dear Innovators and Text Analytics Practitioners,I invite you to join us for the Text Analytics World conference, loaded with text analytics case studies, expertise and resources. This conference brings together professionals and experts, academics and business leaders, consultants and users to create a cross-disciplinary, cross- fertilization environment that will deepen theory with real world perspectives and enrich the practical with new ideas and techniques.

Text Analytics World is the only full spectrum text analytics conference covering everything from practical business applications to the latest cutting-edge research, from big data and social media to new techniques and approaches to creating the semantic enterprise, and delivering sessions across verticals such as banking, financial services, e-commerce, government, healthcare, high technology, insurance, non-profits, publishing, retail and telecommunications.

You will learn first-hand about the latest applications and research at Associated Press, BiText, Booz Allen Hamilton, Deutsche Telekom, The Economist, IBM, J.D. Power and Associates, KDnuggets, Korea Institute of Science and Technology Information, LinguaSys, Next Era Research, Pingar, and Silverchair Information Systems .

TAW’s agenda covers hot Topics such as big data and text analytics, combining text mining and network mining, cross language text analytics, customer service and call centers, decision support, enterprise search and new approaches to unifying enterprise knowledge, E-Discovery, fraud detection, government applications, insurance applications, new models of knowledge organization , new techniques in sentiment analysis, new trends in big data, open question-answering, open source text analytics, selecting the right social media tools, semantic search applications, social media applications – getting real business value, survey analysis, taxonomy development and automatic classification, theme discovery, and voice of the customer.

Join TAW and access our premier keynotes, sessions, workshops, exposition, expert panel, live demos, networking coffee breaks, and reception.

We hope you can join us,

Tom ReamyChief Knowledge Architect KAPS Group

Eric SiegelFounding ChairText Analytics World


Agenda Overview

7:30-8:45am

9:30-9:50am

8:45-9:30am

10:15-11:00am

11:15-12:00pm

2:00-2:45pm

4:15-5:00pm

1:00-1:45pm

3:15-4:00pm

12:00pm-1:00pm

1:45-2:00pm

4:00-4:15pm

2:45-3:15pm

Registration & Breakfast

Platinum Sponsor Presentation

Wednesday, October 3, 2012 • Exhibit Hall Open

Welcome Remarks - Tom Reamy, ChairKeynote: Future Directions for Text Analytics

Tom Reamy, KAPS Group

Social Media Intelligence: Text andNetwork Mining combined l

Rosaria Silipo, DMR

Harnessing the Power of Text Analyticsto Drive Human Capital s

David Youssefnia, Critical Metrics, LLCDr. Charles Scherbaum, Critical Metrics

Contextually Augmented Predictive Models for Call Center Next Best Action l

Shantaneu Godbole, IBM GPS CRM

User-Adaptive and Guiding R&D Planning System Empowered by Text Mining l

Seungwoo Lee, Korea Institute of Science and Technology Information

Big Data and Big Analytics Trends:The Promise and the Hype l

Gregory Piatetsky-Shapiro, KDnuggets

Superior Search sJeff Fried, BA Insight

The Text Analytics Open-Source Toolchest sJoseph Turian, MetaOptimize

Social Semantics for an Effective Enterprise sSarah Ann Berndt

Predictive Coding in E-Discovery lGerard Britton, DOAR Litigation Consulting LLC

Dr. Herb Roitblat, OrcaTecEoin Beirne, H5

Shannon Capone Kirk. Esq., Ropes & Gray LLP

Text Analytics on Two Million Documents:A Case StudyTrack 1 - Text Mining/Big Data:

Merging Two Worlds lAlyona Medelyan, Pingar

Selecting the Right Social Media Monitoring Tools sJarrod Gingras, Real Story Group

The Semantic Value of TextualDomain Representations s

Mark Riddell, The Marrell Group, LLC

Track 1: Text Mining and Predictive Analytics Track 2: Enterprise Text Analytics Applications

Track 1: Text Mining and Predictive Analytics

Track 1: Big Data and Text Analytics

Track 2: Text Analytics / Social Media Tools

Track 2: Enterprise Text Analytics Applications

Lunch

9:50-10:15am

11:00-11:15am

5:05-5:15pm

5:15-5:30pm

5:30-6:15pm

6:15-7:30pm

Networking / Exhibit Hall

Break

Gold Sponsor Presentation

Silver Sponsor Presentation

Beyond Bag of Words: Taking Statistical Text Mining to the Next LevelDr. John Elder and Dr. Andrew Fast, Elder Research, Inc.

Reception

Break

Break


l Track 1 - Text Mining/Big Data: Merging Two Worlds s Track 2 - Enterprise Text Analytics: Applications & Tools


Agenda Overview

8:00-8:55am

9:00-9:45am

8:55-9:00am

10:15-11:00am

11:15-12:00pm

2:00-2:45pm

4:15-5:00pm

1:00-1:45pm

3:15-4:00pm

12:00pm-1:00pm

1:45-2:00pm

4:00-4:15pm

2:45-3:15pm


KeynoteUnified Access to Enterprise Information

Sue Feldman, IDC

Thursday, October 4, 2012 • Exhibit Hall Open - 10:00am-7:30pm

Welcome Remarks - Tom Reamy, Chair

Beyond Sentiment Hype: Using Conversation Context for Accurate Discovery l

Hadley Reynolds, Next Era Research

Classifying Content Using Context-Based Language sEvelyn Kent, MCT SmartContent

Social Media Research Integrationin the New Norm l

Jessica Hogan, JD Powers & Associates

Beyond the Basic Approach: Implementing Text Analytics Solutions for Enterprise Voice of the Customer Programs l

Brion Scheidel, Maritz ResearchKurt Pflughoeft, Maritz Research

Semantics and the Social Media lBryan Bell, Enterprise Solutions, Expert System

Case Study – Text Analytics in its Automated Classification Process sHeather Edwards, AP

Using Natural Language Processing to Take the Pulse of the Spanish Telecoms Market s

Antonio Valderrabanos, BiText

Taxonomies for Text Analytics and Auto-Indexing s

Heather Hedden, Hedden Information Management

How Taxonomies and Facets Bring End-Users to Big Data s

Anna Divoli, Pingar

Next Generation Customer Surveyswith Text Analytics l

Kurt Williams

Automated Social Media Theme Extraction lScott Oliveira

Crossing the Language Chasm: Extracting Information from Foreign-Language Text sMeta Brown, LinguaSys

Taxonomy Terminology Traceability andText Analytics s

Rena Morse, Silverchair Information Systems

Track 1: Social Media and Beyond Track 2: Text Analytics: Classification

Track 1: Voice of the Customer

Track 1: Social Media: Semantics & Themes

Track 2: Text Analytics Issues: Languages

Track 2: Text Analytics and Taxonomy

Lunch

9:45-10:15am

11:00-11:10am

5:05-5:15pm

5:15-5:30pm

5:30-6:15pm


Break

Break

Panel – Tom Anderson, TBD

Close / Wrap Up

Break

Break


l Track 1 - Social Media and Text Analytics s Track 2 - Techniques / How to Build


Wednesday, October 3, 20127:30-8:45am


8:45-9:30am

Welcome RemarksTom Reamy, Chair

KeynoteFuture Directions for Text Analytics

Tom ReamyChief Knowledge Architect, KAPS Group

9:30-9:50am

Platinum Sponsor Presentation

9:50-10:15am | Networking / Exhibit Hall

10:15-11:00am

l Track 1: Text Mining and Predictive Analytics

Social Media Intelligence: Text and Network Mining combinedRosaria Silipo, DMR

This paper combines text mining and network mining revealing new heterogeneous insights in social media that are not detectable using either technique alone. Sentiment analysis from online forum posts together with reference structures from the quotation network allows the detection of individual’s sentiment as well as their relative influence in the underlying discussion forum.

Originally performed for Deutsche Telekom and The Economist, the techniques and methods presented here use public data to demonstrate the approach for social media. A conclusion is drawn about the relevance and practicalities of this new approach along with a recommendation for next steps.

10:15-11:00am

s Track 2: Enterprise Text Analytics Applications

Harnessing the Power of Text Analytics toDrive Human CapitalSpeakers: David Youssefnia, President, Critical Metrics, LLCDr. Charles Scherbaum, Director of Research and Analytics, Critical Metrics

Human capital analysts have long relied on structured data from employees to better understand what drives their performance (e.g., surveys, HRIS). As text analytic resources have become more powerful and accessible, unstructured data from employees can now be better leveraged to drive employee performance, understand the employee experience, make human capital decisions, and improve business outcomes. This session will focus on how this growing area can be used to help companies better understand drivers of employee engagement and behavior as well as to better assess company culture, cultural alignment, and impact of cultural alignment on company performance.

11:00-11:15am | Break

11:15-12:00pm


Contextually Augmented Predictive Models for Call Center Next Best ActionSpeaker: Shantanu Godbole, Analytics Architect, IBM GPS CRM

Using predictive analytics in real time to make call-center agents effective at problem solving, selling, and customer service, is one of the next frontiers for CRM. The Next Best Action for Call Centers solution directly puts predictive analytics in the hands of call-center agents. Over and above historical data based propensity models, we exploit the invaluable data source of agent-customer conversations to gather information about customer context. This helps backend predictive models to better score and rank product offers for selling to customers. This case study shows 25% boost in revenue for a global bank\’s call-center in a cross-sell/up-sell deployment.

11:15-12:00pm


Superior SearchSpeaker: Jeff Fried, CTO and VP Engineering, BA Insight

Session Descriptions



12:00-1:00pm | Lunch

1:00-1:45pm


Predictive Coding in E-DiscoverySpeaker: Gerard Britton, DOAR Litigation Consulting LLC Dr. Herb Roitblat, Co-Founder, OrcaTecEoin Beirne, Executive Managing Director, H5Shannon Capone Kirk. Esq., E-Discovery Counsel, Ropes & Gray LLP

An expert panel discussion of the text mining and predictive analytics foundation, evolution and current applications of predictive text mining in the litigation arena as a method to bring down Spiraling document review costs. Predictive coding is currently being reviewed by several courts in the U.S. and is a very hot topic in litigation circles. Panel to consist of presenter, another legal expert and 1 to 2 legal technology experts.

1:00-1:45pm

s Track 2: Text Analytics / Social Media Tools

Selecting the Right Social Media Monitoring ToolsSpeaker: Jarrod Gingras, Director, Advisory Services, Real Story Group

Organizations across the world are increasingly using Social Media for many strategic objectives. Governments want to monitor their political opponents and propagate their policies while businesses want to see how their brand is performing vis-a-vis their competitors. More sophisticated organizations use it for reputation management, IP protection, sales and marketing, customer service and engaging with influencers. All this requires you to create a framework for monitoring Social Media channels like Twitter, Facebook and others. In this session, we will look at some of the issues related to the field of Social Media Monitoring. This will be a fast paced and to-the-point session based on Real Story Group’s Digital Marketing research stream. We will cover:

• Social Media Monitoring and Intelligence – Basics• Understanding the marketplace – Scenarios, Categories

and Tools• Selecting the right tools for your needs

1:45-2:00pm | Break

2:00-2:45pm


User-Adaptive and Guiding R&D Planning System Empowered by Text MiningSpeakers: Seungwoo Lee, Senior Researcher, Korea Institute of Science and Technology Information

This session presents an R&D planning support system, InSciTe Adaptive, which aims to support decision-making processes, especially focused on R&D strategy planning. This system combines text mining and Semantic Web technologies to facilitate extraction of technical terms and complex relations among technologies, organizations and products from technical documents and news articles and furthermore interoperable integration of those heterogeneous literatures. It identifies and analyzes core and emerging technologies and suggests customized R&D strategy based on process flows designed by scenarios. In addition, it identifies user interest in real-time and supports users to achieve their goals in user-adaptive and guiding way.

2:00-2:45pm

s Track 2: Text Analytics / Social Media Tools

The Text Analytics Open-Source Tool ChestSpeaker: Joseph Turian, President and Founder,MetaOptimize

2:45-3:15pm | Networking / Exhibit Hall

3:15-4:00pm

l Track 1: Big Data and Text Analytics

Text Analytics on Two Million Documents: A Case StudySpeaker: Alyona Medelyan, Research & Development,Pingar

To make sense of big data, we must know what each document is about and what terms and entities they contain. NLP techniques are processing-intensive, so correct set-up is key when working with big unstructured data.

We will describe an experiment in which nearly two million publications from CiteSeer were loaded onto an Amazon Elastic Compute Cloud and each publication was processed using a keyword extraction API. We cover lessons learned in setting up a cloud environment for such a large dataset, provide an overview of keyword extraction techniques and explain which ones can scale to handle the Big Data.



3:15-4:00pm


The Semantic Value of Textual Domain RepresentationsSpeaker: Mark Riddell, President, The Marrell Group, LLC

The success of business efforts to acquire and transfer relevant expert knowledge requires an improved understanding of how human cognitive factors may influence how users interpret textual representations of work-related domains. When discussing human factors, important distinctions and similarities between fundamental aspects of cognitive psychology and HCI will be presented. The concepts of semantic value and cognitive alignment will be discussed along with their relevance to various types of domain descriptions. The presentation will then explore key research results, including the results of the presenter’s 2011 comparative study of task domain representations, which offer new perspectives about textual content and textually-based domain descriptions. Finally, a typical business case will be used to demonstrate value creation opportunities resulting from using domain representations to create better cognitive alignment between individuals and groups. The research results and other concepts should be useful for executives, managers, and consultants looking for new ways to make knowledge transfer solutions more effective.

4:00-4:15pm | Break

4:15-5:00pm

l Track 1: Big Data and Text Analytics

Big Data and Big Analytics Trends: The Promise and the HypeSpeaker: Gregory Piatetsky-Shapiro, Editor, KDnuggets

We will look at the current trends and buzzwords in Big Data, Data Mining and Predictive analytics field and examine how much hype and reality is in the promise of Big Data. We also analyze the growing and changing demand for data scientist skills and see which skills are the hottest.

4:15-5:00pm


Social Semantics for an Effective EnterpriseSpeaker: Sarah Ann Berndt

5:05-5:15pm

Gold Sponsor Presentation

5:15-5:30pm

Silver Sponsor Presentation

5:30-6:15pm

Beyond Bag of Words: Taking Statistical Text Mining to the Next LevelSpeakers: Dr. John Elder and Dr. Andrew Fast, Elder Research, Inc.

6:15-7:30pm

Reception



Thursday, October 4, 20128:00-8:55am


8:55-9:00am

Welcome Remarks Tom Reamy, Chair under Welcome Remarks

9:00-9:45am

KeynoteUnified Access to Enterprise InformationSue Feldman, Research Vice President, Search and Discovery Technologies, IDC

9:45-10:15am | Networking / Exhibit Hall

10:15-11:00am

l Track 1: Social Media and Beyond

Beyond Sentiment Hype: Using Conversation Context for Accurate DiscoverySpeaker: Hadley Reynolds, Principal Analyst, Next Era Research

Most use of sentiment analysis in social media to date has been extremely limited. Analytics with dashboards full of traffic light symbols gloss only the most obvious features of social conversations, often obscuring the real reactions and trends which move opinion about a product or a company. In this session, we will discuss the causes, both technical and human, behind the failure of early sentiment approaches. We will introduce the technologies and practices for advanced conversation analytics, and show how understanding tone and context for commentary provides a far more accurate analytical frame for decision-making around social media.

10:15-11:00am

s Track 2: -Text Analytics: Classification

Classifying Content Using Context-Based LanguageSpeaker: Evelyn Kent , MCT SmartContent Product Manager, MCT SmartContent

MCT’s ontology-based content-categorization system searches unstructured text and returns results based on context-rich evidence found in the article. This system

determines the subject of an article instead of search for single mentions of search terms. Our ontology can define an article in multiple ways. We add metadata for topics, companies, people, and geography and can return all of it to users. It leverages the meaning of words in context to distinguish between closely-related topics and concepts using everyday language. Automatic categorization is accurate 80 percent of the time. I’ll talk about how we’re building the ontology and learned best practices.

11:00-11:10am

Gold Sponsor Presentations

11:15-12:00pm

l Track 1: Social Media and Beyond

Social Media Research Integration in the New NormSpeaker: Jessica Hogan , Senior Manager, Consumer Insights & Strategy, JD Powers & Associates

Since its advent as a significant platform for consumer activity, social media has been lauded as either the saving grace or the Achilles heel of many organizations. While the merits of the many social media applications will continue to be debated, it’s a simple fact that the social channel has become a mainstay in Voice of the Customer (VOC) programs. This session will go beyond identifying the importance of incorporating social intelligence to explain the processes, tools, and applications for its use in an organization. Three recent case studies will further demonstrate these points.

11:15-12:00pm

s Track 2: Text Analytics: Classification

Case Study - Text Analytics in its Automated Classification ProcessSpeaker: Heather Edwards, Taxonomy Developer, AP

Heather Edwards will present a case study on AP’s use of text analytics in its automated classification process. This session will provide an overview of the AP’s classification systems including vocabulary development processes, use of semantic rules for classification, the classification testing process and QA environment, and the ways users interact with classification. Heather will focus on challenges specific to classification of news content, in contrast to enterprise content.

12:00-1:00pm | Lunch

1:00-1:45pm



l Track 1: Voice of the Customer

Next Generation Customer Surveys with Text Analytics

Speaker: Kurt Williams

1:00-1:45pm

s Track 2: Text Analytics Issues: Languages

Crossing the Language Chasm: Extracting Information from Foreign-Language TextSpeaker: Meta Brown, General Manager, Analytics, LinguaSys

A global marketplace and rapidly growing Big Data resources have created new expectations for text analytics. Identifying the subject matter of text isn’t enough; the pressure is on to identify sentiment, to find significance in tiny snips of text, to mine massive quantities of text in real time, and to analyze text written in languages that the analyst cannot read.

1:45-2:00pm | Break

2:00-2:45pm

l Track 1: Voice of the Customer

Beyond the Basic ApproachSpeaker: Brion Scheidel, Director, Text Analytics, Maritz ResearchKurt Pflughoeft, Director, Marketing Science, Maritz Research

Beyond the Basic Approach: Implementing Text Analytics Solutions for Enterprise Voice of the Customer Programs This session covers rule-based and statistical techniques used by Maritz Research to implement text analytics. Topics include categorizing and toning comments, including real world examples from enterprise customers.

2:00-2:45pm

s Track 2: Text Analytics Issues: Languages

Using Natural Language Processing to Take the Pulse of the Spanish Telecoms MarketSpeaker: Antonio Valderrabanos, CEO, BiText

As social media has grown over the last years, there has been an increasing interest in using text analytics to tap into this information for marketing strategies or customer service improvement. Text analytics, when based on language technologies featuring syntactic and semantic

processing, can go beyond entity and sentiment polarity extraction. We will present a case study focusing on event recognition in Spanish tweets in the domain of the telecoms market: we will show how language technology has a significant role to play in the comparison of brands and in the detection of users’ buying intents and their wish lists of ideal features or services, in topic classification, problem detection and even the geolocation of service failures.

2:45-3:15pm | Networking / Exhibit Hall

3:15-4:00pm

l Track 1: Social Media: Semantics & Themes

Automated Social Media Theme ExtractionSpeaker: Scott Oliveira

This session will examine how text analytics can be used to answer specific questions about topics of conversations in social media. Many organizations increasingly rely on social media content for information that will guide decisions and operations. However, they often use key word searches to attempt to filter and analyze massive amounts of unstructured text data generated by social media every day. Relying on keywords frequently misses crucial pieces of data. Using analytics capabilities, we demonstrate how to quickly extract key topics from large volumes of unstructured text; group documents based on theme similarity, and identify useful and relevant information.

3:15-4:00pm

s Track 2: Text Analytics and Taxonomy

Taxonomy Terminology Traceability and Text AnalyticsSpeaker: Rena Morse, Director of Semantics, Silverchair Information Systems

Step 1 in taxonomy building is the content audit to gather appropriate terms. Traditionally, the taxonomist would manually review content titles: browsing the terminology via the single most meaningful summary of the content; creating mental maps of the field; and getting a general “ear” for the language used. What if, instead, you give the taxonomist a list of extracted terms with word counts, and said “Start with this”? Listen in for lessons learned across multiple projects using text analytics to move taxonomy building forward in the era of big data and the semantic web .

4:00-4:15pm | Break



4:15-5:00pm

l Track 1: Social Media: Semantics & Themes

Semantics and Social MediaSpeaker: Bryan Bell, Enterprise Solutions, Expert System

Big Data and Semantics are all the buzz, and we know that combining the two will provide great value, but do we understand how to best take advantage of the combination?

This session will take the ambiguity out of semantics, provide a demonstration of a real semantic engine and offer examples of how other organizations have deployed this advanced technology to address and leverage their big data problems.

4:15-5:00pm


Taxonomies for Text Analytics and Auto-IndexingSpeaker: Heather Hedden, Taxonomy Consultant,Hedden Information Management

Text analytics for auto-indexing may or may not make use of text analytics and may or may not make use of taxonomies, but taxonomies can greatly support and enhance the indexing results. This session primer gives an overview of the different auto-indexing technologies of information extraction and auto-categorization, and explains the different ways that taxonomies can support auto-indexing, whether the taxonomies are displayed to the user or not.

4:15-5:00pm


How Taxonomies and Facets Bring End-Users Closer to Big DataSpeaker: Anna Divoli, Senior Software Researcher, Pingar

Taxonomies are effective when they are tailored for the particular data-set, are up to date, and make sense to users. As data grows big and evolves fast we need to explore new sustainable ways for generating and maintaining taxonomies, and we need to understand how to do this well. In this talk I will give an overview of traditional, manual, expert-defined taxonomies, user generated taxonomies (or folksonomies), and automatically generated taxonomies. I will then present applications of taxonomies that work and do not work based on a number of user studies.

5:00-5:05pm | Break

5:05-5:50pm

PanelSpeaker: Tom Anderson

5:50-6:00pm

Close / Wrap Up


Friday, October 5, 2012 Full-day: 9:00am – 4:30pm

l Making Text Mining Work: Practical Methods and Solutions

Dr. Andrew FastDirector of ResearchElder Research, Inc.

A free copy of Dr. Fast’s book on Practical Text Mining is included.

Intended Audience:• Practitioners seeking tools to analyze unstructured text

data.

Knowledge Level: No previous experience required though some technical background in statistics or predictive analytics will be useful.

Attendees will receive an electronic copy of the course notes via USB drive.

Workshop DescriptionIn their 2011 Hype Cycle report, Gartner has Text Analytics sliding into the “Trough of Disillusionment”, highlighting the difficulty of achieving its great promise. Despite this verdict, text mining and text analytics can be valuable tools, if you know where to look for the solution. This workshop will address:

• The text mining solutions available now and the problems for which they are best suited

• Best practices in the key text mining areas• How to set positive but realizable expectations for the

return on investment of a text mining project

This one-day session surveys standard and advanced methods for text mining.

Dr. Fast will describe the key inner workings of leading algorithms, demonstrate their performance with business case studies, compare their merits, and show how to pick the approach best suited for your project. Methods covered include search indexes, text classification, information extraction, document similarity and more.

The key to successfully leveraging these methods is to find the right “hammer” for your text “nails” and understand the limits of those techniques.

Dr. Fast will share his experience mining text on real-world applications in several fields, highlighting the range of available solutions and how to combine technologies to maximize the value of the vast store of (untapped) unstructured data.

If you’d like to become a text mining practitioner – or if you already are, and would like to hone your knowledge across methods and best practices, this workshop is for you!

What you will learn:• The tremendous value of learning from unstructured

textual data• How to choose the proper text mining solution• Text mining best practices

Schedule• Workshop starts at 9:00am• First AM Break from 10:00 – 10:15am• Second AM Break from 11:15 – 11:30am• Lunch from 12:30 – 1:15pm• First PM Break from 2:00 – 2:15pm• Second PM Break from 3:15 – 3:30pm• Workshops ends at 4:30pm

Attendees receive a free copy of Andrew Fast’s book on Practical Text Mining, an electronic copy of the course notes via USB drive, and an official certificate of completion at the conclusion of the workshop

InstructorDr. Andrew Fast leads research in Text Mining and Social Network Analysis at Elder Research, the nation’s leading data mining consultancy. ERI was founded in 1995 and has offices in Charlottesville VA and Washington DC, (www.datamininglab.com). ERI focuses on Federal, commercial, investment, and security applications of advanced analytics, including stock selection, image recognition, biometrics, process optimization, cross-selling, drug efficacy, credit scoring, risk management, and fraud detection.

Dr. Fast has published on an array of applications including detecting securities fraud using the social network among brokers, and understanding the structure of criminal and violent groups. Other publications cover modeling peer-to-peer music file sharing networks, understanding how collective classification works, and predicting playoff success of NFL head coaches (work featured on ESPN.com). With John Elder and other co-authors, Andrew has written a book on Practical Text Mining, to be published in January, 2012.

Post-Conference Workshop


Tom Reamy Chief Knowledge Architect KAPS Group

Tom Reamy is currently the Chief Knowledge Architect and founder of KAPS Group, a group of knowledge architecture, taxonomy, and text analytics consultants. Tom has 20 years of experience in information architecture, enterprise search, intranet management and consulting, education software, and text analytics consulting. Tom’s academic background includes a Master’s in the History of Ideas, research in artificial intelligence and cognitive science, and a strong background in philosophy, particularly epistemology. He has published articles in various journals and is a frequent speaker at knowledge management conferences. When not writing or developing KM projects, he can usually be found at the bottom of the ocean in Carmel taking photos of strange creatures.

Keynote: Future Directions for Text Analytics

Sue Feldman Research Vice President, Search and Discovery Technologies IDC

Sue Feldman specializes in research on information access technologies including, including search engines, text analytics, categorization, unified access to structured and unstructured information, Big Data, visualization, and rich media search. Her research analyzes the trends and dynamics of the search and discovery software market and also quantifies the costs of information work to the organization.Ms. Feldman won IDC’s James Peacock Research award for her work on modeling and forecasting the search and retrieval technology markets, and an Innovation Award from IDC in 2007 for developing a new research program on the digital marketplace. She is a frequent speaker at industry events, and has won several national and international awards for her writing. She wrote the chapter on search engines for the 1999 volume of the Encyclopedia of Library and Information Science and was the first editor of the IEEE Computer Society’s Digital Library News. She is currently writing a book, “The Answer Machine” concerning the future of technology for information access.

Before coming to IDC in 2000, Ms. Feldman was President for twenty years of Datasearch, an independent technology consulting firm, where she consulted on new retrieval technologies such as natural language processing, search engines, usability of online systems, and digital libraries.

Keynote: Unified Access to Enterprise Information

Keynote Bios

For all speaker bios please visit:http://www.textanalyticsworld.com/boston/2012/speakers

http://www.textanalyticsworld.com/boston/2012/speakers


Registration

Description Regular Onsite (Ends Sep 28) Price

2 Day TAW Conference PassWednesday 10/3 & Thursday 10/4 $1,590 $1,790

One Day Conference Pass Wednesday 10/3 OR Thursday 10/4 $990 $1,090

2 Day PAW / 2 Day TAW Combo PassMonday 10/1 to Thursday 10/4 $2,980 $3,380

Exhibit Hall Only PassesWednesday 10/19 & Thursday 10/20 $150 $150

Workshops Regular Onsite (Ends Sep 28) Price

Making Text Mining WorkFriday 10/5 – full day $995 $995

Online Introduction to Predictive Analytics $495 $495On-Demand $395 $395*Save $100 if you register for this Online Program along w/2 day pass w/2 day pass with a 2 Day or Combo Conference Pass

Bring the Team Offer:Each additional attendee from the same company registered at the same time receives an extra $200 off.

Inquiries: [email protected] or (717) 798-3495

Register now at:http://www.textanalyticsworld.com/boston/2012/registration

http://www.textanalyticsworld.com/boston/2012/registration


Hotel/Location

Hotel Rooms and Location:Seaport World Trade Center200 Seaport Boulevard,Boston, MA 02210(617) 385-5000

There are a limited number of rooms available at the Seaport Boston Hotel at the special show rate of $279 per night plus tax. Complimentary in room Wifi is included in this rate. This rate will be available until 5:00PM EST on Wednesday, August 29th, or until the group rate is sold out, whichever is earlier. To book a room at The Seaport Boston Hotel please call hotel reservations at 877-SEAPORT and reference Data Driven Business Week or visit: http://www.textanalyticsworld.com/boston/2012/hotellocation

Seaport Boston HotelSeaport Boston Hotel & Seaport World Trade Center provides you with refreshingly different style and service while you’re visiting Boston. Located on the Boston waterfront in the bustling Seaport District, the Seaport Hotel offers you luxury accommodations with dazzling city and harbor views and incredibly convenient access to all major points of interest including the Financial District, Freedom Trail, Faneuil Hall and the North End.

http://www.textanalyticsworld.com/boston/2012/hotellocation

http://www.textanalyticsworld.com/boston/2012/hotellocation

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