Develop a machine learning model to detect fake reviews on e-commerce platforms.
Analyze the impact of fake reviews on consumer behavior and trust in e-commerce platforms.
Implement natural language processing techniques to extract features from reviews for the machine learning model.
Collect and preprocess a dataset of reviews from various e-commerce platforms.
Implement machine learning algorithms such as Support Vector Machines or Neural Networks for detecting fake reviews.
Evaluate the performance of the model through metrics such as precision, recall, and F1 score.
Conduct a comparative analysis of the effectiveness of different machine learning algorithms for fake review detection.
Write a detailed report summarizing the findings and discussing the implications for e-commerce platforms and consumers.
