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5.0
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5.0
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1,000
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99%
Would take again
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| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
EPPS 6355 Vito D'Orazio | |||||
A- | |||||
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| Name | Grades | Rating | |||
|---|---|---|---|---|---|
Not teaching in Spring 2026 | |||||
EPPS 6355 Vito D'Orazio | |||||
A- | |||||
Vito D'Orazio
[email protected]Grades: 582
Median GPA: B+
Mean GPA: 3.165
3.6
Professor rating
2.6
Difficulty
10
Ratings given
78%
Would take again
Machine Learning for Social Text Data
EPPS 6355
School of Economic, Political and Policy Sciences
This course explores methods for extracting and analyzing text as data. Automated text analysis has become widely used in the social sciences following recent innovations in machine learning and the increased digitalization of political texts. The course covers the theoretical foundations for text analysis and discusses the promises and challenges of analyzing text as data. Students will become familiar with different techniques for systematically analyzing text with applications to the study of political science topics. The focus of the course is on practical applications that allow students to apply cutting edge statistical and computational techniques to their own research. 3 credit hours.
Offering Frequency: Every two years
Grades: 33
Median GPA: A-
Mean GPA: 3.577
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Vito D'Orazio
[email protected]Grades: 582
Median GPA: B+
Mean GPA: 3.165
3.6
Professor rating
2.6
Difficulty
10
Ratings given
78%
Would take again
Machine Learning for Social Text Data
EPPS 6355
School of Economic, Political and Policy Sciences
This course explores methods for extracting and analyzing text as data. Automated text analysis has become widely used in the social sciences following recent innovations in machine learning and the increased digitalization of political texts. The course covers the theoretical foundations for text analysis and discusses the promises and challenges of analyzing text as data. Students will become familiar with different techniques for systematically analyzing text with applications to the study of political science topics. The focus of the course is on practical applications that allow students to apply cutting edge statistical and computational techniques to their own research. 3 credit hours.
Offering Frequency: Every two years
Grades: 33
Median GPA: A-
Mean GPA: 3.577
Click a checkbox to add something to compare.