Sentiment analysis using SSAS 2012
Ruben Pertusa Lopez
Duration: 60 minutes
Track: Track 1
We live in a world of social data. There are tweets, Facebook posts, updates, book reviews or forum discussions written in Social Networks. As an insight, we can find sentiment in all these social texts. This session reviews some text mining and integration techniques for extracting and incorporating these insights from Big Data into our analytical platform.
Real life samples and practical demos will be shown using Microsoft technologies.
Co-speaker: Javier Torrenteras (SolidQ BI Manager)