Box Office Predictor

A project of box office predictor for EIE3280 in CUHKSZ.

Baseline Structure

Report

Here is the report of this project where you can find more details. Box Office Predictor Project

NLP tools

• Awesome Chinese NLP
• TextBlob

Plotly Dash Application

Here we wanna build a dash application for the visualization of the predictions.

Steps to execute

Steps to run in local:

# Enter the directory
cd box-office-predictor
# Install the env management tool pipenv
pip install pipenv
# Install dependencies
pipenv install
# Enter the virtual environment
pipenv shell
# Open the jupyter book
python application.py

How to deploy on AWS?

We use AWS Elastic Beanstalk service to deploy the web application. We recommend Elastic Beanstalk CLI.

Steps to deploy:

eb init -p python-3.6 box-office-predictor #Initialize the repository
eb init # Set the configurations
...
eb create box-office-predictor-env # Deploy the web, upload whole application files
eb open # Open the web on browser

Materials

• Dash Tutorial
• Dash Official Doc
• Python Machine Learning Materials
• Social Sentiment

Reference

• Prediction of Movie Success using Sentiment Analysis of Tweets

• Dynamic Box Office Forecasting Based on Microblog Data