This is a command line program that uses Google Cloud Natural Language to perform sentiment analysis on some text.
View the code for this project here.
Download the code as a .zip
from DownGit here.
This example prints out the sentiment score for the string "Happy coding!"
.
pom.xml
pom.xml
is a Maven POM file that defines the project.
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>io.happycoding</groupId>
<artifactId>google-cloud-natural-language-hello-world-standalone</artifactId>
<version>1</version>
<properties>
<exec.mainClass>io.happycoding.naturallanguage.NaturalLanguageHelloWorld</exec.mainClass>
<exec.cleanupDaemonThreads>false</exec.cleanupDaemonThreads>
<maven.compiler.source>11</maven.compiler.source>
<maven.compiler.target>11</maven.compiler.target>
</properties>
<dependencies>
<dependency>
<groupId>com.google.cloud</groupId>
<artifactId>google-cloud-language</artifactId>
<version>1.101.0</version>
</dependency>
</dependencies>
</project>
NaturalLanguageHelloWorld.java
NaturalLanguageHelloWorld.java
contains a main()
method that sends a sentiment analysis request and outputs the result.
package io.happycoding.naturallanguage;
import com.google.cloud.language.v1.AnalyzeSentimentResponse;
import com.google.cloud.language.v1.Document;
import com.google.cloud.language.v1.Document.Type;
import com.google.cloud.language.v1.LanguageServiceClient;
import com.google.cloud.language.v1.Sentiment;
import java.io.IOException;
public class NaturalLanguageHelloWorld {
public static void main(String[] args) throws IOException {
String text = "Happy coding!";
// Create a Document containing plain text content
Document doc = Document.newBuilder()
.setContent(text).setType(Type.PLAIN_TEXT).build();
// Get the document's sentiment score
LanguageServiceClient languageService = LanguageServiceClient.create();
AnalyzeSentimentResponse response = languageService.analyzeSentiment(doc);
Sentiment sentiment = response.getDocumentSentiment();
// Close the service
languageService.close();
// Print the sentiment score
float sentimentScore = sentiment.getScore();
System.out.println("Score: " + sentimentScore);
}
}
Run this project by executing this command:
mvn package exec:java
Learn more in these tutorials:
Use machine learning to analyze natural language.
Happy Coding is a community of folks just like you learning about coding.
Do you have a comment or question? Post it here!
Comments are powered by the Happy Coding forum. This page has a corresponding forum post, and replies to that post show up as comments here. Click the button above to go to the forum to post a comment!