Red Rock


Red Rock is an alpha app that lets the user act on data driven insights discovered from Twitter. Powered by IBM Analytics running on Apache Spark, it finds patterns in user tweets to see influential individuals, related topics of interest, and where in the world the conversation is taking place. In the hands of a marketer, this tool could become an extremely powerful way to connect with your target demographic or find emerging markets you might not have thought to look for. In the hands of someone at the increasingly overwhelmingly SXSW, this tool would help filter weather, private corporate events that aren't announced, surprise artists, pop-up studios, even food.

The data science algorithms used in RedRock are Word23Vec and K-means. The Word2Vec algorithm is based on deep neural networks and it assigns a numerical vector to each of the words in the Twitter data. Once a feature matrix if formed with the Word2Vec algorithm, K-means was applied to do it to cluster words. These two algorithms are used to build screens in the app.


  • Jon Alter
  • Raphael Bouchard
  • Kellyn Carpenter
  • Joel Colon Figueroa
  • Barbara Gomes
  • Rosstin Murphy
  • Zoe Symon
  • Hao Wang


You Might Also Enjoy

Gidon Gershinsky
Gidon Gershinsky
2 months ago

How Alluxio is Accelerating Apache Spark Workloads

Alluxio is fast virtual storage for Big Data. Formerly known as Tachyon, it’s an open-source memory-centric virtual distributed storage system (yes, all that!), offering data access at memory speed and persistence to a reliable storage. This technology accelerates analytic workloads in certain scenarios, but doesn’t offer any performance benefits in other scenarios. The purpose of this blog is to... Read More

James Spyker
James Spyker
4 months ago

Streaming Transformations as Alternatives to ETL

The strategy of extracting, transforming and then loading data (ETL) to create a version of your data optimized for analytics has been around since the 1970s and its challenges are well understood. The time it takes to run an ETL job is dependent on the total data volume so that the time and resource costs rise as an enterprise’s data volume grows. The requirement for analytics databases to be mo... Read More