Java idiomatic client for Google Cloud Natural Language.
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"
See the Authentication section in the base directory's README.
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.
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]
.
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.
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.
To get help, follow the instructions in the shared Troubleshooting document.
Language uses gRPC for the transport layer.
Java 7 or above is required for using this client.
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.
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.
Apache 2.0 - See LICENSE for more information.