Detecting Fake Reviews: Feature Selection & Preprocessing
Budget: $30 – $250 USD
I'm seeking an expert in Artificial Intelligence and Natural Language Processing who can effectively create a proposal encompassing feature selection methods, data pre-processing tactics, and fake review detection algorithms. It's crucial that the proposals are supported by academic papers published from 2021 to 2024.
Key responsibilities:
- Research cutting-edge feature selection technologies. Although there are no pre-set preferences, Information Gain, Chi-Square, and Recursive Feature Elimination are worth considering.
- Develop robust data pre-processing methods.
- Work on advanced fake review detection algorithms.
- Deliver high-quality papers for the three objectives specified earlier.
The freelancer must be able to start work immediately. Experience in academic research and a strong understanding of recent developments in machine learning algorithms and data pre-processing will be highly beneficial to the project.
Key responsibilities:
- Research cutting-edge feature selection technologies. Although there are no pre-set preferences, Information Gain, Chi-Square, and Recursive Feature Elimination are worth considering.
- Develop robust data pre-processing methods.
- Work on advanced fake review detection algorithms.
- Deliver high-quality papers for the three objectives specified earlier.
The freelancer must be able to start work immediately. Experience in academic research and a strong understanding of recent developments in machine learning algorithms and data pre-processing will be highly beneficial to the project.