This application scrapes a product’s Amazon reviews, extracts entities, and reveals sentiment.

• Technologies
• Implementation details
• Installation

This application uses the jsoup library to scrape and parse HTML from a URL and extract product reviews using CSS selectors.

This application communicates with the TextRazor API to extract entities.

This application communicates with the Google Cloud NL API to detect sentiment score and magnitude.

After cloning the project, you must set up the following two environment variables:

• TEXT_RAZOR_API_KEY: ***
• GOOGLE_APPLICATION_CREDENTIALS: service-account-file.json

For more info, see https://www.textrazor.com/signup & https://cloud.google.com/docs/authentication/production.

You also may need to install Apache Maven (https://maven.apache.org/) on your system.

mvn clean compile

mvn clean compile assembly:single

mvn -q clean compile exec:java -Dexec.executable="service.Main" 

mvn clean compile test checkstyle:check  spotbugs:check

To see bug details using the Findbugs GUI, use the following command "mvn findbugs:gui"

Or you can create a XML report by using

mvn spotbugs:gui 

or

mvn spotbugs:spotbugs

mvn spotbugs:check 

For more info see https://spotbugs.readthedocs.io/en/latest/maven.html

CheckStyle code styling configuration files are in config/ directory. Maven checkstyle plugin is set to use google code style.

mvn checkstyle:check

Generate a report in XML format:

target/checkstyle-checker.xml
target/checkstyle-result.xml

Generate a report in HTML format:

mvn checkstyle:checkstyle

target/site/checkstyle.html