General Information
Artifact Type
Presentation
Abstract/Short Description
Imagine trying to identify innovation in the market from the billions of gigabytes of data created globally every day. A significant portion of this data consists of unstructured text from blog posts and news articles, tweets, social media, and medical and administrative reports. Automating the process of extracting useful information from unstructured data has been a challenge because this text data often contains nuances that humans clearly understand but are difficult for machines to process.
General Rights Requested
Open – Derivatives
Files
Attachment | Size |
---|---|
JSM2022-draft-v2(1).pptx | 14.08 MB |
Publication Details
Year
2022
Month
August
Day
10
Publisher/Conference Name
Joint Statistical Meetings
There is no available external link for this item
Off
Other Information
Funding Agency
National Center for Science and Engineering Statistics
Institute Technical Report Number
BI-2023-90