Computer Science 243ST - Topic: 'Introduction to Search Technologies'

The vast amount of unstructured and structured data on the web and in organizational databases has increased the need for approaches to processing large volumes of text. Such analyses help researchers and businesses to gain insights -- that would otherwise be too resource- and time-consuming to do manually -- into issues such as how much a consumer can be expected to spend in a particular context, the rise of hate groups and their impact on social media, or to whom a newly discovered manuscript may be attributed. In this course, students are introduced to tools and techniques used to gain these insights, such as Map-Reduce and Sentiment Analysis, in the context of Natural Language Processing and search technologies (e.g., Google).

This course is limited to sophomores and juniors.; Prereq: COMSC-150 or COMSC-151.