Agenda
The Sentiment Analysis Symposium program for Tuesday, May 8, 2012 is outlined in the agenda that follows. (Another page covers the May 7 Practical Sentiment Analysis tutorial.)
Monday afternoon, May 7 2:00 pm-5:30 pm |
(optional, separate registration fee)
Bing Liu, University of Illinois at Chicago
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Monday evening, May 7 5:45 pm-7:00 pm |
Drinks on us ... for symposium attendees & friends, at the Opia bar at 57th & Lexington |
Tuesday morning, May 8 8:00 am-8:30 am |
Registration & Coffee |
Morning Session -- Tuesday, May 8 | |
8:30 am-8:40 am | Chair's Welcome: The Sentiment Spectrum
Seth Grimes, Alta Plana Corporation
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8:40 am-9:20 am | Keynote: Sentiment, Subjectivity, and Sense
Jan Wiebe, University of Pittsburgh
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9:20 am-9:50 am |
Tween Pants Cut Too Low!! (or, Combine Survey Research & Social Monitoring to Discover the Unknown)
(mouseover here for description)
One of social media monitoring's benefits is that the results
reveal trends in opinions that are not uncovered by ongoing customer
satisfaction survey research. Recently, many companies have moved toward
mining social media data for customer opinions and in parallel, reduce the
amount of time and money spent on customer satisfaction survey research.
This approach unfortunately may reduce the insight a company has on
customer satisfaction. This presentation will explore the problems with
only mining social media data, and will demonstrate the benefits of
combining survey research with social media monitoring. We will show how
to properly perform the the data integration and then classify the combined
results to attain the holy grail of all customer satisfaction research:
find out negative sentiment about the company that wasn't previously known
and, if left unexplored, will impact the bottom line.
Carol Haney, Toluna
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9:50 am-10:20 am |
Forecasting Financial Market Response from News and Social Media Sentiment
(mouseover here for description)
Sophisticated trading and investment firms, seeking a competitive edge from managing 'big data,' need to make sense of all the unstructured news and opinion distributed every day over, not only traditional news sources, but financial news sites, chat rooms, blogs and other social media channels as well. With modern economic and financial theory increasingly looking towards behavioural and crowd-based models to explain cyclical booms and busts, the ability to quantitatively assess broad market sentiment can be a valuable indicator to help guide successful trading and investment strategies. The world of 'big data' is a new market data frontier that can provide trading firms with a real edge by helping to model behavioural economics. News and Social Media Sentiment tools allow traders to quantify market sentiment from the millions of public and premium sources of financial information available via the Web, turning a lot of noise into actionable insights. Richard W. Brown, Thomson Reuters
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10:20 am-10:40 am | Break |
10:40 am-11:10 am |
Emotional Versus Rational in Customer Decision Making
(mouseover here for description)
There are three forms of power: knowledge, position and influence. In the social space, position is irrelevant. Knowledge and influence is paramount. How that comes across is captured
in sentiment. Sentiment is defined as thoughts, views, or attitudes, especially ones based mainly on emotion instead of reason. Sentiment drives a person' s consideration set and
thereby influences their decisions. Too often people focus on the 'poles', e.g. the positive or negative sentiment and miss the opportunity capture by neutral sentiment, aka the 'swing
voter'. Taking the time to consider this swing sentiment will in turn shape strategies, products, offers and messaging.
Chris Frank, American Express, and Paul Magnone, Openet Telecom
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11:10 am-11:40 am |
A Multi-Channel Proposition: Customer Sentiment and (Much) More
(mouseover here for description)
As social web becomes increasingly mainstream as a customer engagement channel, it grabs a larger share of interest and intrigue from customer experience practitioners and sentiment
analysis technologist. Banafsheh Ghassemi will discuss practical opportunities and blind spots this trend delivers in a multi-channel world.
Banafsheh Ghassemi, American Red Cross
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11:40 am-11:50 am |
How does that make you feel? Sentiment analysis in 2012
Catherine Van Zuylen, Attensity
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11:50 am-12 noon |
Real Time Intelligence Solutions Srini Bharadwaj, RAGE Frameworks
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12 noon-12:20 pm | Lightning Talks (round 1)
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12:20 pm-12:30 pm |
Using Social Media Analytics Technology to Turn Measurable Social Insights Into Business Results
(mouseover here for description)
Hear how Crimson Hexagon's social media monitoring and analytics software helps organizations use insights gained from the deep research and analysis of online social media conversations to directly impact a business's bottom line.
Wayne St. Amand, Crimson Hexagon
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Lunch & Networking | |
12:30 pm-1:30 pm | Lunch & Networking |
Afternoon Session | |
1:30 pm-2:00 pm |
Market Research Beyond Sentiment: Differentiating the Engaged and Pleased
(mouseover here for description)
Cases from research practice will demonstrate a text mining process that works towards meta-ontologies, differentiating 9 categories, comprising among others functional and emotion attributes. In 2011 we went a step further, splitting all emotions found into 8 dimensions generating a graphic called Emotions Radar. The main two axes range from pleasantness to unpleasantness and from engagement to disengagement. In between strong/weak positive and negative associations are covered. The system builds on visual analysis and has proven to capture emotions quite well - going beyond positive/negative sentiment. Examples shown will be a data set from a 360 deg ad effectiveness study, showing that TV or print generate quite different emotions engaging consumers much less than a recommendation by friends for example. Two other practical cases will be shown:
Andera Gadeib, CEO, Dialego AG
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2:00 pm-2:15 pm | Lightning Talks (round 2)
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2:15 pm-3:00 pm | Presentations & Panel: User Perspectives
Moderator: Israel Mirsky, Porter Novelli
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3:00 pm-3:15 pm |
Sentiment in real world data, a collection of examples
Jeff Catlin, Lexalytics
The Social Cocktail: Mixing the Social Data That's Right for Your Business
Seth McGuire, Gnip
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3:15 pm-3:35 pm | Break |
3:35 pm-4:05 pm |
Perspectives: Crowdsourcing Times 3
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4:05 pm-4:35 pm |
Unsupervised Learning: Insight in Business News, Medical Forums, and Public Filings
(mouseover here for description)
Researchers and practitioners are developing and applying new methods to determine how Web users feel about everything: products and politicians, medical drugs, friends and family, scientific articles and celebrities. In this talk we will cover recent advances that combine information extractionwith sentiment analysis to improve accuracy in assessing sentiment about specific entities. We will present several real world applications ofsentiment analysis that utilize unsupervised learning and semantic clustering.
Ronen Feldman, Hebrew University and Digital Trowel
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4:35 pm-5:15 pm |
Panel: Innovators & Innovation
(mouseover here for description)
Sentiment analysis exploits academic and industrial research
to enable business solutions that harvest and make use of opinion, attitude, and emotion in the broad array of human communications. Progress is constant, with much room for
further advances: Subject matter for what should prove to be an illuminating discussion of sentiment analysis Innovation, featuring panelists who are themselves exemplary Innovators.
Moderator: Carol Rozwell, Gartner
Leslie Barrett, The Ladders
Bing Liu, University of Illinois at Chicago
Romi Mahajan, Metavana
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Reception | |
5:15 pm-6:30 pm | Networking Reception |