Joon Yeon Choeh
Biographic Data
| ID | 7974050 |
|---|---|
| NAME | Joon Yeon Choeh |
| GIVEN NAMES | Joon Yeon |
| FAMILY NAME | Choeh |
| SIGNATURE | CHOEH J Y |
| AFFILIATIONS | Sejong University |
| ORCID | 0000-0002-6604-5944 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Predicting neuroticism with open-ended response using natural language processing
We identified items that performed better at neuroticism prediction than others. Prediction models developed based on open-ended questions that theoretically aligned with neuroticism exhibited superior predictive performance
Social media engagements of music videos on YouTube’s official artist channels
As social platforms become essential in promoting songs, many artists create an official channel on YouTube and encourage their fans’ engagements. However, little is known about the effectiveness of official videos in generating fans’ media engagements. We conduct two empirical studies to investigate the relationship between official video attributes, media engagements and channel subscribers. First, we propose a model to explain how music video …
The impact of online review helpfulness and word of mouth communication on box office performance predictions
While electronic word-of-mouth (eWOM) variables, such as volume and valence have been posited in previous studies to consistently affect product sales, there is a lack of studies on the different contexts and outcomes that affect the importance of eWOM variables. In order to fill this gap, this study attempts to use the helpfulness of reviews and reviewers as moderators to predict box office revenue, comparing the prediction performances of busin…
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The impact of online review helpfulness and word of mouth communication on box office performance predictions
While electronic word-of-mouth (eWOM) variables, such as volume and valence have been posited in previous studies to consistently affect product sales, there is a lack of studies on the different contexts and outcomes that affect the importance of eWOM variables. In order to fill this gap, this study attempts to use the helpfulness of reviews and reviewers as moderators to predict box office revenue, comparing the prediction performances of busin…
Social media engagements of music videos on YouTube’s official artist channels
As social platforms become essential in promoting songs, many artists create an official channel on YouTube and encourage their fans’ engagements. However, little is known about the effectiveness of official videos in generating fans’ media engagements. We conduct two empirical studies to investigate the relationship between official video attributes, media engagements and channel subscribers. First, we propose a model to explain how music video …
Predicting neuroticism with open-ended response using natural language processing
We identified items that performed better at neuroticism prediction than others. Prediction models developed based on open-ended questions that theoretically aligned with neuroticism exhibited superior predictive performance
Computer Science (3 works) · Advertising (2 works) · Business (2 works) · Digital Marketing and Social Media (2 works) · Psychology (2 works) · Social Psychology (2 works) · Art (1 work) · Artificial Intelligence (1 work) · Box office (1 work) · Cognitive psychology (1 work)