Skip to content

Latest commit

 

History

History
 
 

google-cloud-language

Folders and files

NameName
Last commit message
Last commit date

parent directory

..
 
 
 
 
 
 

Google Cloud Java Client for Natural Language

Java idiomatic client for Google Cloud Natural Language.

CircleCI Coverage Status Maven Codacy Badge Dependency Status

Quickstart

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

<dependency>
  <groupId>com.google.cloud</groupId>
  <artifactId>google-cloud-language</artifactId>
  <version>1.39.0</version>
</dependency>

If you are using Gradle, add this to your dependencies

compile 'com.google.cloud:google-cloud-language:1.39.0'

If you are using SBT, add this to your dependencies

libraryDependencies += "com.google.cloud" % "google-cloud-language" % "1.39.0"

Authentication

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

About Google Cloud Natural Language

Google Cloud Natural Language API provides natural language understanding technologies to developers, including sentiment analysis, entity analysis, 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 Cloud Natural Language API Client Library.

Getting Started

Prerequisites

You will need a Google Developers Console project with the Natural Language API enabled. 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].

Installation and setup

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.

Analyzing sentiment

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());
}

Complete source code

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

Troubleshooting

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

Transport

Language uses gRPC for the transport layer.

Java Versions

Java 7 or above is required for using this client.

Versioning

This library follows Semantic Versioning.

It is currently in major version one (1.y.z), which means that the public API should be considered stable.

Contributing

Contributions to this library are always welcome and highly encouraged.

See google-cloud's CONTRIBUTING documentation and the shared documentation for more information on 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.

License

Apache 2.0 - See LICENSE for more information.