Summary of Multi-class Regret Detection in Hindi Devanagari Script, by Renuka Sharma et al.
Multi-class Regret Detection in Hindi Devanagari Script
by Renuka Sharma, Sushama Nagpal, Sangeeta Sabharwal, Sabur Butt
First submitted to arxiv on: 29 Jan 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| 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 presents a novel dataset and analysis on regret expressions in Hindi social media platforms, exploring linguistic patterns and domains associated with regret. The authors manually classified sentences into three classes (regret by action, regret by inaction, or no regret) from three sources. They identify interpersonal relationships as the most frequent domain for regret expression. Using a pre-trained BERT model, they generate word embeddings and compare deep learning models to conventional machine learning approaches, demonstrating the effectiveness of BERT for conveying contextual meaning. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This study looks at how people express regret on social media in Hindi. Regret is a common feeling that makes us think about what we did or didn’t do differently. The researchers made a special dataset with lots of sentences about regret and then analyzed them to see what types of words and phrases are used to describe it. They found out that people tend to regret both actions and inactions, especially when it comes to relationships with others. |
Keywords
* Artificial intelligence * Bert * Deep learning * Machine learning
