Hayden Le (3283)

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The Court of Social Media: Leveraging Computational Methods to Predict Public Response to Sexual Misconduct News Stories

Hometown: Falls Church, Virginia

Department: Interdisciplinary Studies

Advisor: Daniel Parker

 

How could Big Data era statistical techniques be leveraged to analyze how differing language features in separate news articles affect public sentiment? To address this question, this honors project will compare and contrast different machine learning techniques seeking to capture latent language features that influence public opinion (as captured by social media).

 

All William & Mary Honors Fellowships fundraising supports the Charles Center Honors Fellowships Fund. Direct support for individual undergraduate research projects is distributed by the Roy R. Charles Center for Academic Excellence

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Class YearDonorsDollars
1993 1$100
1995 1$500
2001 1$20
2003 1$400
2010 1$50
2011 1$150
2012 1$100
2013 1$50
2014 1$250
2016 1$100
2017 1$50
2018 1$10
2019 3$615


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10% Students

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19% Parents

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5% Faculty/Staff

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32% Friends

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Anonymous
Tuan-Anh Le
Richard Williams
Rachael TatmanRachael Tatman photo
Suby and Jim Wildman
Jeffrey Peter SarmonisJeffrey Peter Sarmonis photo
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Aleina Kreider
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Sarah, C, Glass
Natalie J Goldring
Tri Le
Hai Le
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Karen Richards
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Jamie Hershaw BS '11 MA '13
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Michael Woon
Minh-Quyen DuongMinh-Quyen Duong photo
Frank Huang
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