Summary of Poprero: a New Dataset For Popularity Prediction Of Romanian Reddit Posts, by Ana-cristina Rogoz et al.
PoPreRo: A New Dataset for Popularity Prediction of Romanian Reddit Posts
by Ana-Cristina Rogoz, Maria Ilinca Nechita, Radu Tudor Ionescu
First submitted to arxiv on: 5 Jul 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper introduces PoPreRo, a novel dataset for predicting the popularity of Romanian posts on Reddit. The dataset consists of 28,107 samples from five subreddits in Romania and serves as a benchmark for evaluating models’ performance. To facilitate future research, the authors also present competitive baseline models that achieve an accuracy of 61.35% and macro F1 score of 60.60%. The study highlights the challenging nature of predicting popularity on PoPreRo, even with few-shot prompting using the Falcon-7B Large Language Model. The dataset is released at this URL. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper creates a new dataset for guessing how popular Romanian posts are on Reddit. This dataset has lots of examples from different subreddits in Romania and can be used to test how well AI models work. The researchers also share some basic AI models that do pretty well, but they’re not perfect. It’s actually quite hard to guess how popular these posts will be! Even with a powerful language model, it’s still tough. The dataset is available online. |
Keywords
» Artificial intelligence » F1 score » Few shot » Language model » Large language model » Prompting
