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Reviewify - QM2 Data science and Visualisations project (group 10)

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Name		Name	Last commit message	Last commit date
Latest commit History 78 Commits
azure-sent-analysis		azure-sent-analysis
data		data
plot_out		plot_out
sets		sets
stats		stats
visualization		visualization
.gitattributes		.gitattributes
.gitignore		.gitignore
Pipfile		Pipfile
README.md		README.md
reviewify.py		reviewify.py
safetychecks.py		safetychecks.py
utils.py		utils.py

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`Reviewify`

Development requirements

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.

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Reviewify - QM2 Data science and Visualisations project (group 10)

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