Summary of Styloai: Distinguishing Ai-generated Content with Stylometric Analysis, by Chidimma Opara
StyloAI: Distinguishing AI-Generated Content with Stylometric Analysis
by Chidimma Opara
First submitted to arxiv on: 16 May 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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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 proposed StyloAI model uses 31 stylometric features to identify AI-generated texts by applying a Random Forest classifier on two multi-domain datasets. The model achieves high accuracy rates of 81% and 98% on the test sets of the AuTextification dataset and the Education dataset, respectively, surpassing existing state-of-the-art models. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The researchers have developed a new way to tell if text is written by a human or a computer. They created a model called StyloAI that uses special features to figure out what makes AI-generated text different from human-written text. The model was tested on two big datasets and did really well, showing that it can accurately spot AI-generated text. |
Keywords
» Artificial intelligence » Random forest
