AI-Powered Customer Sentiment Tracker for E-Commerce Brands

To develop a machine learning algorithm that can accurately analyze customer sentiment towards e-commerce brands in the education sector.

To create a user-friendly dashboard for e-commerce brands to track and monitor customer sentiment in real-time.

To explore the impact of customer sentiment on brand loyalty and purchasing behavior within the education industry.

To evaluate the effectiveness of the AI-powered sentiment tracker in improving customer satisfaction and brand reputation for e-commerce brands in the education sector.

Conduct a literature review on existing AI technologies for sentiment analysis in e-commerce.

Collect and preprocess a large dataset of customer reviews and feedback from e-commerce brands in the education sector.

Develop and train a machine learning model for sentiment analysis using natural language processing techniques.

Design a dashboard interface for brand managers to visualize and interpret customer sentiment data.

Conduct experiments to evaluate the performance of the AI-powered sentiment tracker in predicting customer sentiment accurately.

Write a research paper documenting the methodology, results, and findings of the project.