A text prediction application for movie reviews with sentiment analysis in real-time
- Project owner: Bing-Je Wu, Jason Maloney, Maya Mileva and Antonio Llorens
- This project is inspired by Kevin Markham from Data School
- Build an adaptive version of the application based on the concept of this application
- The goal for this application is to predict the sentiment level (positive or negative) of a movie review in real-time with the ability to recommend the next word that a user is going to enter.
- Pull Request Instruction
- Github Filing Rules
- The movie review dataset is going to be used to build models for prediction.
(Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Dan Huang, Andrew Y. Ng, and Christopher Potts. (2011). Learning Word Vectors for Sentiment Analysis. The 49th Annual Meeting of the Association for Computational Linguistics (ACL 2011).) - Use Anvil to build the application.