Python-side (data analysis and visualization):

• Python 3.5+
• pipenv : Python dependencies manager (matplotlib, numpy...)
• Git LFS : Large file storage on Github (for datasets)
• Python IDE recommended : PyCharm has good integration with pipenv

Then run pipenv update in this folder to download all required dependencies and then run the main entrypoint (reviewify.py)

Java-side (Uses Microsoft Azure API to get a sentiment score for each review):

• A Java JDK 11+ such as OpenJDK (no installer) or Oracle JDK (installer)
• Maven 3.5+ : Java dependency manager and build system
• Microsoft Sentiment Analysis API Key : Need a developer Azure account and use of LUIS sentiment analysis service
• Java IDE recommended : IntelliJ IDEA is nice and integrates well with the whole project

Then run, into azure-sent-analysis folder, the command mvn clean spring-boot:run to execute the Java project.