Natural Language Processing (NLP)

CANCELED: Python Text Analysis: Topic Modeling

November 15, 2022, 12:00pm
In this part, we study unsupervised learning of text data. This is a stand alone work that builds from the two-part text analysis series.
Registration is unavailable.

Python Text Analysis Fundamentals: Parts 1-2

November 1, 2022, 12:00pm
This two-part workshop series will prepare participants to move forward with research that uses text analysis, with a special focus on humanities and social science applications.

Bo Yun Park, Ph.D.

Postdoc
D-Lab

I am a Postdoctoral Scholar in the D-Lab at the University of California, Berkeley. My research lies at the intersection of political, cultural, and transnational sociology. I am particularly interested in dynamics of social inclusion and exclusion, social change, technology, and digital politics. My dissertation investigated how political strategists in France and the United States craft narratives of political leadership for presidential candidates in the digital age. I received my Ph.D. in Sociology at Harvard University, where I was affiliated with the Institute for Quantitative Social...

Abhishek Roy

IUSE Undergraduate Advisory Board
Economics
Data Science

I'm Abhishek Roy and I'm double majoring in Economics and Data Science. I've been a part of D-Lab's IUSE project since Spring 2020 and have truly found an organization that is not only passionate about Data Science but also strives to expand its reach equitably to all communities. I am involved in Research and Project Management roles in various departments and labs at Berkeley and I'm an Editor at the Berkeley Economic Review. I love diving into anything at the intersection of Data Science, Economics, Business, and Computational Social Science. Whenever I'm free, I love writing...

Nikita Samarin

Instructor
Electrical Engineering and Computer Science (EECS)

Nikita Samarin is a doctoral student in Computer Science in the Department of Electrical Engineering and Computer Sciences (EECS) at the University of California, Berkeley advised by Serge Egelman and David Wagner. His research focuses on computer security and privacy from an interdisciplinary perspective, combining approaches from human-computer interaction, behavioral sciences, and legal studies. Samarin is a member of the Berkeley Lab for Usable and Experimental Security (BLUES) and an affiliated graduate researcher at the Center for Long-Term Cybersecurity (CLTC) and the...

Erin Manalo-Pedro

Research Fellow
Community Health Sciences (UCLA)

Erin Manalo-Pedro is a Ph.D. student in the Department of Community Health Sciences at the UCLA Fielding School of Public Health with a minor in education. She focuses her racial health equity research on curriculum, the health workforce, and political interventions for communities of color. Drawing from Public Health Critical Race Praxis and Pinayism, she aims to use methods, like natural language processing and counter storytelling, to document the subtleties of structural racism and resistance from marginalized groups.

To guide her interdisciplinary approach, Erin leverages
...

Swetha Pola

Research Fellow
School of Information

Swetha (she/her) is a 5th Year Master of Information and Data Science student at the School of Information, with experience in Cognitive Science, Psychology research, and product management. Her research interests include building ethical, transparent AI and the impacts of technologies (specifically, mass media, surveillance, and algorithms of bias) on longitudinal behavioral health. She is happy to help with questions on Python, R, SQL, machine learning, neural networks, statistical analysis, and research design!

...

Python Text Analysis Fundamentals: Parts 1-2

June 14, 2022, 1:00pm
This two-part workshop series will prepare participants to move forward with research that uses text analysis, with a special focus on humanities and social science applications.
See event details for participation information.

Python Text Analysis: Topic Modeling

April 13, 2022, 3:00pm
In this part, we study unsupervised learning of text data. This is a stand alone work that builds from the two-part text analysis series.

Python Text Analysis Fundamentals: Parts 1-2

March 28, 2022, 3:00pm
This two-part workshop series will prepare participants to move forward with research that uses text analysis, with a special focus on humanities and social science applications.