Java idiomatic client for Natural Language.

• Product Documentation
• Client Library Documentation

If you are using Maven with BOM, add this to your pom.xml file

<dependencyManagement>
  <dependencies>
    <dependency>
      <groupId>com.google.cloud</groupId>
      <artifactId>libraries-bom</artifactId>
      <version>16.4.0</version>
      <type>pom</type>
      <scope>import</scope>
    </dependency>
  </dependencies>
</dependencyManagement>

<dependencies>
  <dependency>
    <groupId>com.google.cloud</groupId>
    <artifactId>google-cloud-language</artifactId>
  </dependency>

If you are using Maven without BOM, add this to your dependencies:

<dependency>
  <groupId>com.google.cloud</groupId>
  <artifactId>google-cloud-language</artifactId>
  <version>1.101.9</version>
</dependency>

If you are using Gradle 5.x or later, add this to your dependencies

implementation platform('com.google.cloud:libraries-bom:16.4.0')

compile 'com.google.cloud:google-cloud-language'

If you are using Gradle without BOM, add this to your dependencies

compile 'com.google.cloud:google-cloud-language:1.101.10'

If you are using SBT, add this to your dependencies

libraryDependencies += "com.google.cloud" % "google-cloud-language" % "1.101.10"

See the Authentication section in the base directory's README.

You will need a Google Cloud Platform Console project with the Natural Language API enabled. You will need to enable billing to use Google Natural Language. Follow these instructions to get your project set up. You will also need to set up the local development environment by installing the Google Cloud SDK and running the following commands in command line: gcloud auth login and gcloud config set project [YOUR PROJECT ID].

You'll need to obtain the google-cloud-language library. See the Quickstart section to add google-cloud-language as a dependency in your code.

Natural Language provides natural language understanding technologies to developers, including sentiment analysis, entity analysis, entity sentiment analysis, content classification, and syntax analysis. This API is part of the larger Cloud Machine Learning API family.

See the Natural Language client library docs to learn how to use this Natural Language Client Library.

With Cloud Natural Language, you can analyze the sentiment of text. Add the following imports at the top of your file:

import com.google.cloud.language.v1.LanguageServiceClient;
import com.google.cloud.language.v1.Document;
import com.google.cloud.language.v1.Document.Type;
import com.google.cloud.language.v1.Sentiment;

Then, to analyze the sentiment of some text, use the following code:

// Instantiates a client
LanguageServiceClient language = LanguageServiceClient.create();

// The text to analyze
String[] texts = {"I love this!", "I hate this!"};
for (String text : texts) {
  Document doc = Document.newBuilder().setContent(text).setType(Type.PLAIN_TEXT).build();
  // Detects the sentiment of the text
  Sentiment sentiment = language.analyzeSentiment(doc).getDocumentSentiment();

  System.out.printf("Text: \"%s\"%n", text);
  System.out.printf(
      "Sentiment: score = %s, magnitude = %s%n",
      sentiment.getScore(), sentiment.getMagnitude());
}

In AnalyzeSentiment.java we put the code shown above into a complete program.

Samples are in the samples/ directory. The samples' README.md has instructions for running the samples.

Sample	Source Code	Try it
Analyze Beta	source code
Analyze	source code
Quickstart Sample	source code
Set Endpoint	source code

To get help, follow the instructions in the shared Troubleshooting document.

Natural Language uses gRPC for the transport layer.

Java 7 or above is required for using this client.

This library follows Semantic Versioning.

Contributions to this library are always welcome and highly encouraged.

See CONTRIBUTING for more information how to get started.

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms. See Code of Conduct for more information.

Apache 2.0 - See LICENSE for more information.

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