#IESentiment

Sentiment Analysis Innovation

Leverage Social Signals to Business Advantage

May
12
San Francisco, 2014

Why
Attend

Learn how to dig deeper into customer feedback and online opinion at this exclusive summit. Over 20 industry speakers will share case studies as to how better enhance your semantic analytics practises and CRM operations.

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Our
Speakers

An industry led line-up featuring 20+ innovative sentiment analysis executives. For information on speaking opportunities please contact Heather James

  • Dave Marvit

    VP, Strategy

    Fujitsu Labs
    Fujitsu Labs of America
  • Amy Gaskins

    AVP, Data Analysis

    MetLife
    MetLife
  • Samaneh Moghaddam

    Applied Researcher

    eBay
    eBay
  • Jim Skinner

    Technical Program Mngr

    Twitter
    Twitter
  • Wenqing Lu

    Director, Analytics

    Orbitz
    Orbitz
  • Vita Markman

    Research Engineer

    Samsung
    Samsung
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The
Schedule

The Sentiment Analysis Innovation Summit provides 20+ industry case studies and over 20 hours of networking opportunities across 2 days. 

The summit will cover the most relevant topics relevant to your business today, including:

  • Making Sense of Consumer Sentiment
  • Extracting Sentiment Using Natural Language Processing
  • Sentiment Analysis with Machine Learning & Polystructured Data
  • Sentiment Monitoring 
  • Multi Lingual Sentiment Analysis
  • Sentiment Analysis Using Solr


Our
Sponsors

Does your company have expertise and services that will be of interest to top level decision makers? If the answer is yes contact us now for partnership opportunities 

The
Venue

Hotel Kabuki

Located in San Francisco’s Japantown, this elegant hotel offers excellent hospitality through all spacious guestrooms and meeting space. With its prime Japantown location and unique blend of Eastern and Western influences, Hotel Kabuki offers a serene accommodation and ambience. 

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Executive Summary

Sentiment Analysis Innovation

May 1 & 2, San Francisco, 2014

Leverage Social Signals to Business Advantage
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