23 November • Monday |
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09 h 00 – 09 h 15 |
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Welcome |
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09 h 15 – 09 h 40 |
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Text Analytics in Market Research: Opportunities, Challenges and Key Success Factors |
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09 h 40 – 10 h 05 |
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Rich Social Media Analysis: Topics, Themes, and Taxonomy |
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10 h 05 – 10 h 30 |
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Impact and Insight: Surveys vs. Social Media |
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10 h 30 – 11 h 00 |
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Break |
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11 h 00 – 11 h 30 |
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Language Technologies at Google |
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11 h 30 – 11 h 55 |
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Detect Communities, Discover Relationships, Craft Messages, and Connect |
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11 h 55 – 12 h 30 |
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Panel: Enterprise/Implemenation |
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12 h 30 – 13 h 30 |
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Lunch |
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13 h 30 – 14 h 00 |
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LT is Essential for Wolters Kluwer's Business Strategy |
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14 h 00 – 14 h 20 |
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Semantic Solutions for Scientific and Academic Publishers |
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14 h 20 – 14 h 45 |
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Content Strategy at Belga News Agency |
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14 h 45 – 15 h 10 |
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Real Time Story Clustering |
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15 h 10 – 15 h 40 |
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Break |
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15 h 40 – 16 h 15 |
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The LTi Cloud for a Multilingual Digital Market |
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16 h 15 – 16 h 40 |
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Understand Markets in a Multi-lingual World |
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16 h 40 – 17 h 40 |
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Spotlight presentations |
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17 h 40 – 19 h 30 |
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Networking Reception |
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24 November • Tuesday |
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09 h 00 – 09 h 10 |
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Welcome |
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09 h 10 – 09 h 35 |
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Social Media Analytics for Competitor Intelligence |
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09 h 35 – 09 h 55 |
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How Users' Opinions Affect Reputation |
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09 h 55 – 10 h 15 |
Listen to Your Users |
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10 h 15 – 10 h 40 |
Measure Customer Satisfaction in Social Media |
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10 h 40 – 11 h 10 |
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Break |
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11 h 10 – 11 h 40 |
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Automated Multilingual Text Analysis in the Europe Media Monitor |
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11 h 40 – 12 h 05 |
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Language Use, Customer Context and the Customer Journey |
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12 h 05 – 12 h 30 |
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Bringing in non financial data into the board room - applying NLP to identify environmental, social and governance issues |
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12 h 30 – 13 h 30 |
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Lunch |
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13 h 30 – 13 h 55 |
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Political Buzz – why social media counts |
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13 h 55 – 14 h 20 |
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ODISAE: A Collaborative Project to Analyze Customer Support Conversation |
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14 h 20 – 14 h 45 |
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Advances in Arabic Language Technologies |
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14 h 45 - 15 h 05 |
US Election Insights in Trends and Polls in Real Time based on Social Media |
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15 h 05 – 15 h 25 |
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Break |
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15 h 25 – 15 h 45 |
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Language Understanding and Deep Learning: Experiences from the MUSE Project |
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15 h 45 – 16 h 05 |
Multilingual Sentiment Analysis for Financial Indices (SSiX) |
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16 h 05 – 16 h 25 |
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Useful Sentiment Analysis |
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16 h 25 – 16 h 45 |
MixedEmotions: Analysis for Social TV, Brand Reputation Management, Call Centres |
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16 h 45 – 17 h 10 |
What’s possible when you know what the whole world is thinking about any topic at any time? |
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17 h 10 – 17 h 15 |
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Closure |