PLEASE NOTE THIS EVENT IS FOR 10:30, NOT THE USUAL 10 AM SLOT.
Augment human efforts to analyze unstructured text with AI using a variety of modeling approaches with SAS Visual Text Analytics. Experience the combined power of natural language processing, machine learning and linguistic rules. We'll focus on the SAS platform for January's edition of the SAS Bowl
Use SAS Visual Text Analytics to ingest, cleans and transform data for analysis, easily accepting multiple file formats through local or remote file systems, relational databases and cloud storage. The platform provides automatic topic discovery using two unsupervised machine learning methods – singular value decomposition and latent Dirichlet allocation – to group documents based on common themes. Relevance scores calculate how well each document belongs to each topic, and a binary flag shows topic membership above a given threshold.
Below are portal-related resources we'll use to create questions for the game.
For those who may be new to the SAS Bowl, you can find game history and specifics in this Community memo. There you'll also find links to previous events, which include recordings.
Register for the event and receive an invite with game details and a Teams meeting link. On game day, Join the TEAMS meeting to play, and show off your SAS and worldly knowledge while competing for bragging rights and SAS Community game gear.