| Event: | Global: SAP University Alliances Next Generation Influencer Sessions@HANA |
| Topic: | Movie Sentiment Rating App Powered by Text Analysis on HANA One |
| Date: | 25 September 2013 |
| Venue: | Online Webinar Session |
| Speaker: | Nicole O'Malley, Senior Product Marketing Manager, SAP HANA, Wenjun Zhou, SAP TIP CE&SP China |
Abstract:
Have you ever wanted to see a movie but you don't know what to see? Sentiment analysis of movies is a smart application built on SAP HANA One. It can predict ratings on new released movies based on social sentiment and recommend movies to users.
HANA One analyzes social media data from tweets after a film is watched, like “The Wolverine is amazing!” or “The Wolverine is not worth watching…” Learn how this application gathers real-time sentiment rating based on real-time tweets, e.g., for The Wolverine, 78% positive, 20% neutral and 2% negative.
Through a live demo, see how it provides potential watchers with quantifiable data on whether the movie is good or not. In addition, the application can recommend movies based on user’s Twitter data. It semantically detects user’s movie taste from Twitter and matches it with other users preferences. The smart app uses social profiling to accurately recommend movies
Recording:
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