Hello world.
I develop novel statistical methods to understand consumer emotions in digital culture.
I currently work as a postdoctoral researcher
@ McGill University in Montreal, Canada and will be starting as an Assistant Professor in Concordia University in August. My research focuses on emotions in online social networks. I apply Natural Language Processing tools such as word embeddings (e.g., BERT, fastText), topic models (e.g., LDA) or lexica. Additional to machine learning, I also use time series models and generalized linear models.
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Begüm Åžener
Postdoctorate Researcher
Desautels Faculty of Management
Email:
McGill University
EDUCATION
2022-*
Postdoctorate
McGill University (Montreal, Canada)
Desautels Faculty of Management
Affective Mechanisms Lab
2022
Ph.D.
Koç University (Istanbul, Turkey)
Graduate School of Business
Specialization: Marketing
Visiting Institution: Imperial College (London, UK)
2016
Koç University (Istanbul, Turkey)
Master's Degree
CEMS (Community of European Business Schools)
Major: International Management
Host Institution: Bocconi University (Milan, Italy)
2014
Bachelor's Degree
Koç University (Istanbul, Turkey)
Major: Industrial Engineering
Double Major: Media & Visual Arts
Exchange Institute: Drexel University (PA, USA)
2009
High School
Türk EÄŸitim Vakfı Ä°nanç High School (Kocaeli, Turkey)
IB (International Baccalaureate) Diploma
Exchange Institution: Poudre High School (Colorado, USA)
Research
Begum Sener, Ezgi Akpinar, and Berk Ataman, “Unveiling the Dynamics Of Emotions in Society Through An Analysis of Online Social Network Conversations”, (2023), Scientific Reports
WORKING PAPERS
Begum Sener, Berk Ataman, and Ezgi Akpinar, “The Role of Emotional Context in Receiving Consumer Engagement”, manuscript under preparation for Journal of Marketing Research
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Begum Sener, Bruce Doré, “Predicting Online Audience Growth: Effect of Emotional Content”, manuscript under preparation for Management Science
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Begum Sener, Bruce Doré, “Bad is More Universal than Good: Evidence from Social Media”, Reject and Resubmit at Journal of Consumer Psychology
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"How can Large Language Models Improve Academic Writing?"
Begum Sener†, Caleb Warren†, Pete Zhou†, Pureum Kim†
[Data Analysis] †denotes equal authorship
Conferences
PAPER PRESENTATIONS​
Begum Sener, Ezgi Akpinar, *Berk Ataman (2023), “Dynamic Flow of Emotions in Online Social Networks”, European Association for Consumer Research annual conference, Amsterdam, the Netherlands
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*Begum Sener, Bruce Doré (2023), “Bad is More Universal than Good: Evidence from Social Media”, INFORMS Marketing Science annual conference, Miami, USA
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Begum Sener, *Berk Ataman, Ezgi Akpinar (2023), “The Role of Emotional State in Receiving Engagement”, Koc-Ozyegin-Sabanci Research Camp, Istanbul, Turkey
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*Begum Sener, Berk Ataman, Ezgi Akpinar (2022), “Brand Generated Emotional Content in Social Networks”, Association for Consumer Research annual conference, Denver, USA
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*Begum Sener, Berk Ataman, Ezgi Akpinar (2022), “Brand Generated Emotional Content in Social Networks”, INFORMS Marketing Science annual conference, virtual
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*Begum Sener, Bruce Doré (2022), “Linguistic Signature of Positive Affect”, Society for Affective Science Positive Emotions annual pre-conference, virtual
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*Begum Sener, Ezgi Akpinar, Berk Ataman (2021), “Dynamic Flow of Emotions in Online Social Networks”, INFORMS Marketing Science annual conference, virtual
POSTER PRESENTATIONS
*Begum Sener, Bruce Doré (2023), “Predicting Online Audience Growth: Effect of Emotional Content”, accepted to be presented at Association for Consumer Research annual conference, Seattle, WA, USA
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*Begum Sener, Bruce Doré (2023), “Bad is More Universal Than Good: Evidence from Social Media”, Society of Affective Science Conference, California, USA
LANGUAGES
PYTHON
MATLAB
SPSS
JAVA
R
STATA