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Daniel Whyatt Phones & Addresses

  • Madison, AL
  • Huntsville, AL
  • Bloomington, IN
  • 134 16Th Cir, Sturgeon Bay, WI 54235
  • Saint Paul, MN
  • Minneapolis, MN
  • Washington, DC

Work

Company: Boeing Jan 2016 Position: Advanced technologist in text analytics

Education

Degree: Masters School / High School: Indiana University Bloomington 2011 to 2014 Specialities: Linguistics

Skills

Teaching • Research • Spanish • Esl • English • University Teaching • Higher Education • Public Speaking • Teaching English As A Second Language • French • Editing • Programming • International Relations • Intercultural Communication • Teacher Training • Nonprofits • Translation • Computational Linguistics • Grant Writing • Qualitative Research • Python • Machine Learning • Java • C# • Natural Language Processing • Sql

Languages

English • Spanish • French • Polish

Interests

Acoustic Guitar • Spanish Language Literature • Irish Music (Flute and Whistles)

Industries

Computer Software

Resumes

Resumes

Daniel Whyatt Photo 1

Advanced Technologist In Text Analytics

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Location:
134 north 16Th Pl, Sturgeon Bay, WI 54235
Industry:
Computer Software
Work:
Boeing
Advanced Technologist In Text Analytics

Indiana University 2014 - 2015
Research Assistant

Indiana University 2011 - 2014
Associate Instructor - Spanish and English As A Second Language

Various Institutions 2000 - 2011
English As A Second Language Teacher

National Endowment For Democracy Jun 2005 - Mar 2008
Grants Administrator
Education:
Indiana University Bloomington 2011 - 2014
Masters, Linguistics
Indiana University Bloomington 2002 - 2004
Masters, History
University of Warsaw 2003 - 2003
University of Wisconsin - Madison 1992 - 1996
Bachelors, History
Trinity Business School 1993 - 1994
Indiana University (Bloomington)
Worldwide Teachers Development Institute
Skills:
Teaching
Research
Spanish
Esl
English
University Teaching
Higher Education
Public Speaking
Teaching English As A Second Language
French
Editing
Programming
International Relations
Intercultural Communication
Teacher Training
Nonprofits
Translation
Computational Linguistics
Grant Writing
Qualitative Research
Python
Machine Learning
Java
C#
Natural Language Processing
Sql
Interests:
Acoustic Guitar
Spanish Language Literature
Irish Music (Flute and Whistles)
Languages:
English
Spanish
French
Polish

Publications

Us Patents

Text Mining A Dataset Of Electronic Documents To Discover Terms Of Interest

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US Patent:
20180365216, Dec 20, 2018
Filed:
Jun 20, 2017
Appl. No.:
15/627977
Inventors:
- CHICAGO IL, US
Nobal B. Niraula - Memphis TN, US
Daniel I. Whyatt - Huntsville AL, US
International Classification:
G06F 17/27
G06N 99/00
G06F 17/30
Abstract:
A method is provided for analyzing and interpreting a dataset composed of electronic documents including free-form text. The method includes text mining the documents for terms of interest, including receiving a set of seed nouns as input to an iterative process an iteration of which includes searching for multiword terms having seed nouns as their head words, at least some of which define a training set of a machine learning algorithm used to identify additional multiword terms at least some of which have nouns outside the set of seed nouns as their head words. The iteration also includes adding the nouns outside the set of seed nouns to the set and thereby identifying a new set of seed nouns for a next iteration. The method includes unifying terms of interest to produce normalized terms of interest for application to generate features of the documents for data analytics performed thereon.
Daniel Irving Whyatt from Madison, AL, age ~52 Get Report