SentimentAnalysis Innovation

Leverage Social Signals to Business Advantage

April 29 & 30, 2015San Francisco, CA

JW Marriott, Union Square

Current Speakers

Current Speakers Include:• Staff Software Engineer, Google• Chief Data Scientist, HireVue• Chief Technical Officer, metaMind• Staff Technical Program Manager, Twitter• Staff Software Engineer, LinkedIn• Head of Text Analytics, Thomson Reuters• Manager, R&D Machine Learning, Bloomberg• Senior Data Scientist, Glassdoor• Senior Research Scientist, Yahoo!• Director, Data Science & Engineering, MyFitnessPal• Director, Customer Analytics, Toyota Financial• Big Data Architect, Skype & Many More..

Past Delegates Include• Vice President, Analytics - Amazon

• Data Scientist, - Twitter

• Director, Analytics - Yammer

• Director, Engineering - Google

• Sr. Director - eBay

• Exec Director, Marketing - EA Electronic Arts

Who Will You Meet?There is no question that IE. provides the gold standard events in the industry and will connect you with decision makers within the analytics industry. You will be meeting senior level execut ives from major corporations and innovative small to medium size companies.

Job Title Of Attendees

President/Principal

SVP/VP

C-Level

Snr. Director/Director

Global Head/ Head

Snr. Manager/Manager

Academic (1%)

78%

1000+ Employees300-999 Employees50-299 EmployeesLess than 49 Employees

Company Size Of Attendees

8%

11%

25%56% 81%Attendees are

companies with at least 300

employees

3%

21%

12%

42%

13%

8%

Attendees are at Director level or above

F TI L

With the rise of social media in recent years online opinion   is now a key indicator for businesses as to their customers wants and needs. The challenge remains to   accurately analyze behavior and sentiment in order gain a crucial advantage over competitors.

By using natural language processing, text analytics and computational linguistics organizations can begin to filter through the noise and begin to identify the relevant

content within conversations.  Offering  more clarity than basic text analytics, sentiment analysis is the way forward for organizations who want to tap into   the mind of the consumer. 

Illustrated intermittently with   case studies, interactive panel sessions and deep-dive   discussions, this summit offers solutions and insight from some of the leaders using sentiment analysis to great effect.

About The Summit

Current Speaker Information

Benjamin TaylorChief Data ScientistHireVue

I am "cloud boy". I have had experience setting up large GPU compute clusters the manual way with ip tables, NFS mounts, ssh keys, ssh cloud configs scripts, service configs, and all of the unexpected troubleshooting that comes with that. It sucks. Now I have seen the light with virtual cloud solutions like AWS and I am in heaven! I can do what use to take me weeks in minutes. Need a 1000 node hadoop/cassandra/mysql cluster/sun grid/cluster? No problem! Need dynamic expansion/contraction? NO PROBLEM! Need a cloud AI optimizer? Oh wait, that doesn't exist yet... don't worry I am on it.

Latest Text Feature Creation & Reduction Methods Demonstrated on Interview Ranking Models

Ben will demonstrate in detail some of the many text features beyond just simple word or n-gram use. Automated feature engineering will also be demonstrated using deep learning techniques. Finally, after generating 100,000s of features how do you reduce the features effectively to reduce computation costs and increase accuracy. Metaheuristic feature reduction on distributed systems will be demonstrated to address automated feature reduction. Lastly, examples and data analysis will be presented with real interview data on one of the world's largest digital repositories of recorded interviews.

Vita MarkmanStaff Software EngineerLinkedIn

I am currently employed as a Staff Software Engineer at LinkedIn, where I work on various natural language processing applications such as performing sentiment a n a l ys i s of c u s to m e r f e e d b a c k , m e m b e r d a t a standardization, and context-sensitive spam detection. Before joining LinkedIn, I was a Staff Research Engineer at Samsung Research America, where among other projects, I worked on extracting topic-indicative phrases from a stream of closed caption news data in real-time and text-mining customer support chat-logs for common issues customers experience.

Mining Topic-Based Sentiment in Customer Feedback at LinkedIn

This talk addresses the topic-based sentiment analysis of customer support feedback focusing on the following questions 1) how do we find the most relevant topics of a product in question 2) how do we ensure to attribute sentiment to these specific topics as opposed to the feedback as a whole 3) how do we leverage natural language processing tools such as key phrase extraction, synonym identification, and summarization to make the obtained topic-sentiment information best suitable for human consumption.     The model proposed here is extendable to mining sentiment in reviews or any other sentiment-bearing text.

Current Speaker Information

Alessandro GagliardiSenior Data ScientistGlassdoor

Alessandro Gagliardi is a Sr. Data Scientist at Glassdoor and an instructor of Data Science at General Assembly in San Francisco. At Glassdoor, he uses big data and machine learning techniques to predict salaries and present the best opportunities to job seekers. Prior to that, he worked for Path, analyzing terabytes of customer activity logs to provide business insights for product development. Alessandro received his B.A. in Computer Science from the University of California.

Using NLP to Improve the Job Hunting Experience

Alessandro will discuss his work in applying machine learning techniques to extrapolate salaries from user generated content, as well as providing statistical analysis of search metrics to provide a better job hunting experience for Glassdoor's customers.

Richard SocherChief Technical OfficermetaMind Institute

Richard Socher is the co-founder and CTO of MetaMind, a young machine   learning company focused on pushing the state of the art in AI and making it accessible to many people. More concretely, MetaMind uses deep learning and m a c h i n e l e a r n i n g t e c h n i q u e s t o s o l v e m a n y different natural language processing and computer vision problems. In 2014, Richard received his PhD from Stanford University working with Chris  Manning and Andrew Ng.  He was awarded the 2011 Yahoo! Key Scientific Challenges Award  and a 2013 "Magic Grant" from the Brown Institute for Media Innovation.

Deep Learning Applied to Real Problems

Sentiment analysis is both linguistically interesting and crucial to   business intelligence.   In this talk, I will first describe overly simple methods for sentiment analysis that have been used in the past.   Next, I will describe current methods of sentiment analysis and demo   an easy to use tool for text and sentiment classification: etcml.com.   In the third part, I will introduce more sophisticated models based on   recursive deep learning which I believe will eventually supersede   currently used algorithms thanks to their improved performance.

Jim SkinnerStaff Technical Program ManagerTwitter

Jim Skinner has spent the last 20 years developing distributed platforms that enable the consumption of digital content. During his 14 years at Microsoft Jim helped bring   MovieLink.com, Korea Telecom's MegaTV and Microsoft's IPTV (sold as AT&T U-Verse, British Telecom Vision, Deutsche Telekom T-Home, etc.) to life. At Netflix Jim focused on video encoding, the content ingestion pipeline and content recommendations. Jim is expanding the functionality of the Twitter client by providing technical program management of the Twitter Cards platform.

The Business of Big Data

Companies like Gnip, Google, IBM and Metamind are turning data analytics and machine learning into viable products.   Will these commercial offerings overtake the "free to use" tools such as the Torch framework and Stanford's Classifier?   This technical talk will focus on the marketplace for big data (who is buying what), the vendors trying to survive in that marketplace and their current product offerings.   You'll learn about the difference between free and paid access to big data, the limitations of existing machine learning "products" and the opportunity this presents for data scientists.

Zornitsa KozarevaSenior Research ScientistYahoo!

I am interested in natural language processing such as large-scale knowledge acquisition from the Web and its app l i cat ion to rea l wor ld prob lems l i ke name disambiguation, entity extraction and paraphrase acquisition. I am also interested and have worked on machine learning, social media, sentiment analysis and graph-based algorithms for text processing.

Multilingual Affect Polarity and Valence Prediction in Metaphors

Understanding metaphor rich texts like "Her lawyer is a shark", "Time is money” and the affect associated with them is a challenging problem, which has been of interest to the research community for a long time. I will introduce the task of multilingual sentiment analysis of metaphors and will present novel algorithms that integrate affective, perceptual and social processes with stylistic and lexical information. Finally, by running evaluations on datasets in English, Spanish, Farsi and Russian, I will show that the method is portable and works equally well when applied to different languages.

Current Speaker Information

Alessandro GagliardiSenior Data ScientistGlassdoor

Alessandro Gagliardi is a Sr. Data Scientist at Glassdoor and an instructor of Data Science at General Assembly in San Francisco. At Glassdoor, he uses big data and machine learning techniques to predict salaries and present the best opportunities to job seekers. Prior to that, he worked for Path, analyzing terabytes of customer activity logs to provide business insights for product development. Alessandro received his B.A. in Computer Science from the University of California.

Using NLP to Improve the Job Hunting Experience

Alessandro will discuss his work in applying machine learning techniques to extrapolate salaries from user generated content, as well as providing statistical analysis of search metrics to provide a better job hunting experience for Glassdoor's customers.

Chul LeeDirector, Data Engineering & ScienceMyFitnessPal

As Director of Data Engineering & Science, Chul is responsible for the development of data products related to real-time nutrition and fitness tracking, insights and community activities at MyFitnessPal. Chul holds Ph.D. in Computer Science from University of Toronto, where he focused on web algorithms and text mining. He also authored many patents and papers that appeared in top-tier peer-reviewed journals and conference proceedings.

Driving Real-Time Nutrition with Sentiment Analysis

Chul will discuss his work in leading the data engineering & science team, with a heavy focus on text mining, at MyFitnessPal for the development of data products related to real-time nutrition and fitness tracking, insights and community activities.

Nishant RohatgiDirector, Data & AnalyticsToyota Financial Services

Jim Skinner has spent the last 20 years developing distributed platforms that enable the consumption of digital content. During his 14 years at Microsoft Jim helped bring   MovieLink.com, Korea Telecom's MegaTV and Microsoft's IPTV (sold as AT&T U-Verse, British Telecom Vision, Deutsche Telekom T-Home, etc.) to life. At Netflix Jim focused on video encoding, the content ingestion pipeline and content recommendations. Jim is expanding the functionality of the Twitter client by providing technical program management of the Twitter Cards platform.

Text Mining as part of the Digital Services Strategy

In this presentation, Nishant will use case studies of his experiences at Toyota Financial Services, where he successfully developed text/speech analytics modeling to promote a necessary shift to digital servicing strategy, saving over $8 million in costs so far.

Saila TalagadadeeviBig Data ArchitectSkype

I am a technology leader, an engineer, and an architect with strong experiences in Big Data, NLP, Information Retrieval, Machine Learning, NoSQL, server side programming, Linux system programming, and algorithm development. I have proven track record of building and managing engineering teams, delivering distributed computing products, and working with cross functional groups.

Gary KazantsevManager, R&D Machine LearningBloomberg

Gary Kazantsev runs the R&D Machine Learning group at Bloomberg, leading research and projects at the intersection of computational linguistics and machine learning such as sentiment analysis, market impact indicators, text classification, social media analytics, question answering, recommendation systems and predictive modeling of financial markets. He holds degrees in physics, mathematics and computer science from Boston University.

The Information

Registration Pricing

For larger groups or special requests contact Andrew by calling +1 415 315 9533 or email achristofi@theiegroup.com* Team discounts are applicable at the point of registration only.

Ways to Register

+1 415 315 9533 +1 323 446 7673 Register Online Here

Group Discount Offers3 Silver Passes: $3000 ($1000 per attendee)5 Silver Passes: $4500 ($900 per attendee)3 Gold Passes: $3900 ($1300 per attendee)5 Gold Passes: $6000 ($1200 per attendee)3 Diamond Passes: $4500 ($1500 per attendee)5 Diamond Passes: $7000 ($1400 per attendee)

F TI L

Sentiment Analysis Innovation SummitDate: April 29 & 30, 2015Location: San Francisco, CAVenue: JW Marriott, Union Square Accommodation: Online Reservations, or call +1 415 771 8600 and quote ‘Summit15’

Silver Pass

$1495Access to all sessions &

networking events7 days access to presentations from the

summit via ieOnDemand

$1295Early Bird Price(before Feb 27)

Diamond Pass

$1995Access to all sessions, networking

events, annual subscription to all content on the Big Data & Analytics channels via

ieOnDemand

$1795Early Bird Price(before Feb 27)

Gold Pass

$1795Access to all sessions, networking

events & unlimited access to presentations from the summit via

ieOnDemand

$1595Early Bird Price(before Feb 27)

1 Day Pass

$895Full access to the sessions to your chosen day of the summit, 7 days

access to presentations from the summit via ieOnDemand

$695Early Bird Price(before Feb 27)

On-Demand Pass

$600Unlimited access to presentations from the summit via ieOnDemand,

including presentations, interviews & the ability to contact speakers

Unlimited access to summit presentations

via ieOnDemand

Access All AreasPass

$2095Diamond access to this summit & the

Social Media & Web Analytics Summit.

$1995Early Bird Price(before Feb 27)

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1. Delegate Information...

2. Pass Types...Early Bird Pass Options until February 27, 2015

Early Bird Silver: $1295 Attendees ____ Early Bird Gold: $1595 Attendees ____ Early Bird Diamond: $1795 Attendees ____

Regular Pass Options after February 27, 2015 Silver Pass: $1495 Attendees ____ Gold Pass: $1795 Attendees ____ Diamond Pass: $1995 Attendees ____

Group Discount Pass Options 3 Silver Passes $3000 ($1000 per attendee) 5 Silver Passes $4500 ($900 per attendee) 3 Gold Passes $3900 ($1300 per attendee) 5 Gold Passes $6000 ($1200 per attendee) 3 Diamond Passes $4500 ($1500 per attendee) 5 Diamond Passes $7000 ($1400 per attendee)

For larger groups or special requests contact Andrew Christofi by calling +1 415 992 5658 or email achristofi@theiegroup.comGroup passes only available when all participants register together.

Pass Descriptions:Silver Pass: Access to all sessions & networking events Gold Pass: Access to all sessions, networking events & unlimited access to the summit presentations via ieOnDemandDiamond Pass: Access to all sessions, networking events, annual subscription to all content on the Big Data & Analytics channels via ieOnDemand

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Prices are exclusive of VAT. Places are transferable without any charge to another Summit occurring within 12 months of the original purchase. Team discounts are applicable at the point of registration only. Any cancellations within a group registration will in turn incur an increase in registration fee for the remaining group participants. Cancellations before March 30, 2015 incur an administrative charge of 50%. If you cancel your registration after March 30, 2015 you will be charged the full fee. You must notify The Innovation Enterprise in writing of a cancellation, or you will be charged the full fee. The Innovation Enterprise reserve the right to make changes to the program without notice. NB: FULL PAYMENT MUST BE RECEIVED BEFORE THE EVENT.

Registration FormSentiment Analysis Innovation SummitApril 29 & 30, 2015 | JW Marriott, Union Square | San Francisco | CaliforniaFor registration or more information on the program, please call Andrew on +1 415 315 9533, or fax this registration form to +1 (323) 446 7673

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Schedule

Networking Drinks 17.00 - 19.00

April 30

Session One 08.30 - 10.00

Coffee Break 10.00 - 10.30

Session Two 10.30 - 12.00

Lunch 12.00 - 13.30

Session Three 13.30 - 15.00

Coffee Break 15.00 - 15.30

Session Four 15.30 - 17.00

Day Two

April 29Day One 08.30

10.00

10.30

12.00

13.30

15.00

15.30

17.00

19.00

08.30

10.00

10.30

12.00

13.30

15.00

15.30

17.00

Session Five 08.30 - 10.00

Coffee Break 10.00 - 10.30

Session Six 10.30 - 12.00

Lunch 12.00 - 13.30

Session Seven 13.30 - 15.00

Coffee Break 15.00 - 15.30

Session Eight 15.30 - 17.00

F TI L

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For sponsorship information contact Euan at ehunter@theiegroup.com

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