Utility Mobile

General Information

Artifact Type
Presentation
Title: JSM 2022 : Extracting Information from Unstructured Data
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

Authorship

Authors
Kattampallil N
Anderson G

Publication Details

Year
2022
Month
August
Day
10
Publisher/Conference Name
Joint Statistical Meetings
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Other Information

Funding Agency
National Center for Science and Engineering Statistics
Institute Technical Report Number
BI-2023-90