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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