watsonAPIを用いた自然言語カテゴリ抽出実装

pom.xml

@@ -32,6 +32,7 @@
 		</repository>
 	</repositories>
 
+
 	<dependencies>
 		<dependency>
 			<groupId>org.springframework.boot</groupId>
@@ -77,6 +78,12 @@
 			<artifactId>twitter4j-core</artifactId>
 			<version>[4.0,)</version>
 		</dependency>
+		<!-- https://mvnrepository.com/artifact/com.ibm.watson/ibm-watson -->
+		<dependency>
+			<groupId>com.ibm.watson</groupId>
+			<artifactId>ibm-watson</artifactId>
+			<version>8.5.0</version>
+		</dependency>
 	</dependencies>
 
 	<build>

src/main/java/com/example/demo/DemoApplication.java

@@ -12,7 +12,7 @@ public class DemoApplication implements CommandLineRunner {
   public static void main(String[] args) {
     SpringApplication.run(DemoApplication.class, args);
   }
-q
+
   @Autowired
   JdbcTemplate jdbcTemplate;
 

src/main/java/com/example/demo/controller/NLUController.java

@@ -0,0 +1,62 @@
+package com.example.demo.controller;
+
+
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Map;
+
+import com.ibm.cloud.sdk.core.security.IamAuthenticator;
+import com.ibm.watson.natural_language_understanding.v1.NaturalLanguageUnderstanding;
+import com.ibm.watson.natural_language_understanding.v1.model.*;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.jdbc.core.JdbcTemplate;
+import org.springframework.web.bind.annotation.*;
+import org.springframework.web.bind.annotation.RequestMethod;
+
+@RestController
+@RequestMapping(path = "/NLU")
+public class NLUController {
+    private static final Logger LOG = LoggerFactory.getLogger(ViewController.class);
+
+    @Autowired
+    JdbcTemplate jdbcTemplate;
+
+    @RequestMapping(path = "/test", method = RequestMethod.GET)
+    public String index() {
+        IamAuthenticator authenticator = new IamAuthenticator("fVfaYMA7tCh4zInWBhTBb5t69xQryK7ObKl42nampynG");
+        NaturalLanguageUnderstanding naturalLanguageUnderstanding = new NaturalLanguageUnderstanding("2019-07-12", authenticator);
+        naturalLanguageUnderstanding.setServiceUrl("https://api.jp-tok.natural-language-understanding.watson.cloud.ibm.com/instances/ac3df365-93f6-4255-beb8-620d66041251");
+        String text = "ユーチューバー。2006年からYouTubeやってます。YouTube&SNSフォロワー計2000万人突破。再生回数計120億回突破。UUUM株式会社最高顧問&ファウンダー。インスタTikTokもフォロー是非 ！ DM読んでませんので、お仕事、その他コラボ依頼や動画SNS絡みのことは事務所まで";
+
+        CategoriesOptions categories= new CategoriesOptions.Builder()
+                .limit(3)
+                .build();
+
+        Features features = new Features.Builder()
+                .categories(categories)
+                .build();
+
+        AnalyzeOptions parameters = new AnalyzeOptions.Builder()
+                .text(text)
+                .features(features)
+                .build();
+
+        AnalysisResults response = naturalLanguageUnderstanding
+                .analyze(parameters)
+                .execute()
+                .getResult();
+        List<String> resultCategories = new ArrayList<>();
+        for (CategoriesResult r : response.getCategories()) {
+            if (r.getScore() > 0.7) {
+                String[] splitword = r.getLabel().split("/");
+                resultCategories.add(splitword[splitword.length - 1]);
+            }
+        }
+
+
+//        return resultCategories.toString();
+        return response.getCategories().get(0).getLabel();
+    }
+}