This project focuses on analyzing movie reviews using Natural Language Processing (NLP) to:
- Perform Sentiment Analysis on reviews and assign sentiment scores.
- Predict movie ratings based on the review texts.
- Track sentiment trends and scores over time.
- Forecast future audience satisfaction when possible using statistical, Machine Learning and Deep Leanrning models such as ARIMA, LSTM, and others...
- Visualize sentiment trends, scores, and forecast results with clear, informative charts and graphs.
The dataset used in this project was collected by scraping movie reviews from AlloCiné, ensuring a rich and diverse source of real user opinions.