2015

SVMAUD: Using textual information to predict the audience level of written works using support vector machines

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SVMAUD: Using textual information to predict the audience level of written works using support vector machines

Status

Published

on 8 Jul 2015

Year of Creation

2014

Todd Will

Registration Number

TX0008093232

on 8 Jul 2015

The U.S. Copyright record (Registration Number: TX0008093232) dated 8 Jul 2015, pertains to an electronic file (eService) titled "SVMAUD: Using textual information to predict the audience level of written works using support vector machines" created in 2014. The copyright holder is Todd Will, known for their creative contributions in text registration. For any inquiries concerning this copyrighted material, kindly reach out to Todd Will.

Todd Will

Application Details

Registration Number

TX0008093232

Registration Date

7/8/2015

Year of Creation

2014

Agency Marc Code

DLC-CO

Record Status

New

Physical Description

Electronic file (eService)

First Publication Nation

United States

Personal Authors

Todd Will

Notes

Rights Note: Diana G Zajic, ProQuest-CSA, LLC, 789 E. Eisenhower Parkway, Ann Arbor, MI, 48108-3218, United States, (800) 521-0600 xext77020, disspub@proquest.com

Statements

Application Title Statement: SVMAUD: Using textual information to predict the audience level of written works using support vector machines

Author Statement: Todd Will Citizenship: not known Authorship: text

Notes

Rights Note: Diana G Zajic, ProQuest-CSA, LLC, 789 E. Eisenhower Parkway, Ann Arbor, MI, 48108-3218, United States, (800) 521-0600 xext77020, disspub@proquest.com

Statements

Application Title Statement: SVMAUD: Using textual information to predict the audience level of written works using support vector machines

Author Statement: Todd Will Citizenship: not known Authorship: text

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