Back to Results
First PageMeta Content
Artificial intelligence / Computational linguistics / Natural language processing / Statistical classification / Data mining / Sampling / Data analysis / Sample size determination / Support vector machine / Science / Statistics / Machine learning


Design of an Active Learning System with Human Correction for Content Analysis Nancy McCracken Jasy Liew Suet Yan
Add to Reading List

Document Date: 2014-06-21 18:09:38

Open Document

File Size: 359,42 KB

Share Result on Facebook

City

Baltimore / /

Company

Bayer / Human Language Technologies / Mitre Corporation / Lewis D. D. / /

Country

United States / /

/

Facility

National Science Foundation Syracuse University / Information Studies Syracuse University / University of Wisconsin / /

IndustryTerm

open source software groups / machine learning systems / sequential algorithm / natural language processing technology / open source software / tive learning systems / /

MarketIndex

set 90 / set 10 / /

Organization

Content Analysis Nancy McCracken Jasy Liew Suet Yan Kevin Crowston School / National Science Foundation / Syracuse University / University of Wisconsin / Madison / National Science Foundation Syracuse University / North American Chapter / American Society for Information Science and Technology / Association for Computational Linguistics / /

Person

Gale / Lewis / Kevin Crowston / Nancy McCracken Jasy Liew Suet / /

Position

author / accurate model for content analysis / /

ProgrammingLanguage

XML / ML / /

ProvinceOrState

Wisconsin / Maryland / M. B. / /

PublishedMedium

Computational Linguistics / Machine Learning / The Journal of Machine Learning Research / /

Technology

XML / sequential algorithm / Natural Language Processing / machine learning system / machine learning / simulation / natural language processing technology / /

SocialTag