Begum Sener
PhD, Koc University
Begum Sener is a postdoctoral researcher at the Affective Mechanisms Lab at McGill. Her research focuses on emotions in online social networks. She specializes in text analysis and uses Natural Language Processing tools such as word embeddings (e.g., BERT, fastText), topic models (e.g., LDA) and lexica.
- Marketing/Consumer Analytics
- Machine Learning
- Text Analysis
- Language Models
| Year | Description | ||
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2022 |
EMAC Doctoral Colloquium Fellow (Budapest, Hungary) |
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2021 |
INFORMS Marketing Science Virtual Conference Doctoral Consortium Fellow |
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2016 |
Full doctoral fellowship, Koc University |
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2015 |
Full scholarship for Master's Degree, Koc University |
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2009 |
Full scholarship for Bachelor's Degree, Koc University |
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2007 |
Kennedy-Lugar Youth Exchange and Study scholarship (Colorado, USA) |
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| Year | Conference |
|---|---|
| 2023 |
INFORMS Marketing Science Conference (Miami, USA) Bad is More Universal Than Good: Evidence From Social Media |
| 2023 |
Koc-Ozyegin-Sabanci Research Camp (Istanbul, Turkey) The Role of Emotional State in Receiving Engagement |
| 2023 |
Society of Affective Science Conference (California, USA) Bad is More Universal Than Good: Evidence From Social Media |
| 2022 |
Association of Consumer Research Conference (Denver, USA) Brand Generated Emotional Content in Social Networks |
| 2022 |
INFORMS Marketing Science Virtual Conference Brand Generated Emotional Content in Social Networks |
| 2022 |
Society for Affective Science Positive Emotions Pre-conference (Online) Lingusitic Signature of Positive Affect |
| 2021 |
INFORMS Marketing Science Virtual Conference Dynamic Flow of Emotions in Online Social Networks |
