Slide Deck Focus
Sentiment analysis through Facebook and Twitter leveraging
This slide deck was a product of developing a sentiment and text analytics engine. We leveraged Facebook Connect, Twitter Firehose and web scrapting to gather text and store it in both MongoDB and Hadoop. Once we had it stored we performed Mahout and Solr text searching and anlytics to determine trends within the data. Although our dataset was not large enough to need it, we used Greenplum as a test MPP database to tie all three of those technologies into one dashboard using Pentaho.