com.baidu.aip
       ├── auth                                //签名相关类
       ├── http                                //Http通信相关类
       ├── client                              //公用类
       ├── exception                           //exception类
       ├── nlp
       │       └── AipNlp           //AipNlp类
       └── util                                //工具类

<dependency>
    <groupId>com.baidu.aip</groupId>
    <artifactId>java-sdk</artifactId>
    <version>${version}</version>
</dependency>

public class Sample {
    //设置APPID/AK/SK
    public static final String APP_ID = "你的 App ID";
    public static final String API_KEY = "你的 Api Key";
    public static final String SECRET_KEY = "你的 Secret Key";

    public static void main(String[] args) {
        // 初始化一个AipNlp
        AipNlp client = new AipNlp(APP_ID, API_KEY, SECRET_KEY);

        // 可选：设置网络连接参数
        client.setConnectionTimeoutInMillis(2000);
        client.setSocketTimeoutInMillis(60000);

        // 可选：设置代理服务器地址, http和socket二选一，或者均不设置
        client.setHttpProxy("proxy_host", proxy_port);  // 设置http代理
        client.setSocketProxy("proxy_host", proxy_port);  // 设置socket代理

        // 调用接口
        String text = "百度是一家高科技公司";
        JSONObject res = client.lexer(text, null);
        System.out.println(res.toString(2));
        
    }
}

<dependency>
    <groupId>com.baidu.aip</groupId>
    <artifactId>java-sdk</artifactId>
    <version>${version}</version>
    <exclusions>
        <exclusion>
            <groupId>org.slf4j</groupId>
            <artifactId>slf4j-simple</artifactId>
        </exclusion>
    </exclusions>
</dependency>

<dependency>
    <groupId>com.baidu.aip</groupId>
    <artifactId>java-sdk</artifactId>
    <version>4.16.5-SNAPSHOT</version>
</dependency>

<project>

     <!-- 请对照您使用的jdk的具体小版本选择对应的alpn-boot版本请参照http://www.eclipse.org/jetty/documentation/current/alpn-chapter.html#alpn-versions-->
    <properties>
        <alpn-boot.version>8.x.xxxxx</alpn-boot.version>
    </properties>

    <!-- 加入依赖的alpn-boot-->
    <dependencies>
        <dependency>
            <groupId>org.mortbay.jetty.alpn</groupId>
            <artifactId>alpn-boot</artifactId>
            <version>${alpn-boot.version}</version>
        </dependency>
    </dependencies>

   <!-- 使用plugin配置jvmArg Xbootclasspath-->
    <build>
        <plugins>
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-compiler-plugin</artifactId>
                <configuration>
                    <compilerArgs>
                        <arg>-Xbootclasspath/p:${settings.localRepository}/org/mortbay/jetty/alpn/alpn-boot/${alpn-boot.version}/alpn-boot-${alpn-boot.version}.jar</arg>
                    </compilerArgs>
                </configuration>
            </plugin>
        <plugins>
     </build>
 </project>

public class Sample {
    //设置APPID/AK/SK
    public static final String APP_ID = "你的 App ID";
    public static final String API_KEY = "你的 Api Key";
    public static final String SECRET_KEY = "你的 Secret Key";

    public static void main(String[] args) {
        // 初始化一个AipNlp
        AipNlp client = new AipNlp(APP_ID, API_KEY, SECRET_KEY);

        // 可选：设置您自己的okHttpClient
        // 连接数超时等都可以通过okHttp提供的接口实现
        OkHttpClient.Builder builder = new OkHttpClient.Builder();
         AipNlp client = new AipNlp(APP_ID, API_KEY, SECRET_KEY, builder.build());

        // 调用接口
        String text = "百度是一家高科技公司";
        ArrayList<CBFutureTask> taskList = new ArrayList<>();
        for (int i = 0; i < 10; ++i) {
            CBFutureTask futureTask = nlp.lexer(text, i + "", null);
            taskList.add(futureTask);
        }
        while (!taskList.isEmpty()) {
            Iterator<CBFutureTask> iter = taskList.iterator();
            while (iter.hasNext()) {
                CBFutureTask futureTask = iter.next();
                if (futureTask.isDone()) {
                    iter.remove();
                    try {
                        String response = futureTask.get();
                        System.out.println(futureTask.getProtocol());
                        System.out.println("req id:" + futureTask.getRequestId() + ", result: " +
                                response);
                    } catch (InterruptedException | ExecutionException e) {
                        Throwable cause = e.getCause();
                        if (cause != null && cause instanceof IOException) {
                            System.err.println("发生网络错误:");
                            cause.printStackTrace();
                        } else {
                            e.printStackTrace();
                        }
                    }
                }
            }
        }
    }
}

public void sample(AipNlp client) {
    String text = "百度是一家高科技公司";

    // 传入可选参数调用接口
    HashMap<String, Object> options = new HashMap<String, Object>();
    
    // 词法分析
    JSONObject res = client.lexer(text, options);
    System.out.println(res.toString(2));

}

{
  "status":0,
  "version":"ver_1_0_1",
  "results":[
    {
      "retcode":0,
      "text":"百度是一家高科技公司",
      "items":[
         {
           "byte_length":4,
           "byte_offset":0,
           "formal":"",
           "item":"百度",
           "ne":"ORG",
           "pos":"",
           "uri":"",
           "loc_details":[ ],
           "basic_words":["百度"]
         },
         {
           "byte_length":2,
           "byte_offset":4,
           "formal":"",
           "item":"是",
           "ne":"",
           "pos":"v",
           "uri":"",
           "loc_details":[ ],
           "basic_words":["是"]
         },
         {
           "byte_length":4,
           "byte_offset":6,
           "formal":"",
           "item":"一家",
           "ne":"",
           "pos":"m",
           "uri":"",
           "loc_details":[ ],
           "basic_words":["一","家"]
         },
         {
           "byte_length":6,
           "byte_offset":10,
           "formal":"",
           "item":"高科技",
           "ne":"",
           "pos":"n",
           "uri":"",
           "loc_details":[ ],
           "basic_words":["高","科技"]
         },
         {
           "byte_length":4,
           "byte_offset":16,
           "formal":"",
           "item":"公司",
           "ne":"",
           "pos":"n",
           "uri":"",
           "loc_details":[ ],
           "basic_words":["公司"]
         }
      ]
    }
  ]
}

public void sample(AipNlp client) {
    String text = "百度是一家高科技公司";

    // 传入可选参数调用接口
    HashMap<String, Object> options = new HashMap<String, Object>();
    
    // 词法分析（定制版）
    JSONObject res = client.lexerCustom(text, options);
    System.out.println(res.toString(2));

}

参考词法分析接口

public void sample(AipNlp client) {
    String text = "张飞";

    // 传入可选参数调用接口
    HashMap<String, Object> options = new HashMap<String, Object>();
    options.put("mode", 1);
    
    // 依存句法分析
    JSONObject res = client.depParser(text, options);
    System.out.println(res.toString(2));

}

{
    "log_id": 12345,
    "text":"今天天气怎么样",
    "items":[
        {
            "id":"1", //id
            "word":"今天", //word
            "postag":"t", //POS tag
            "head":"2", //id of current word's parent
            "deprel":"ATT"  //depend relations between current word and parent
        },
        {
            "id":"2",
            "word":"天气",
            "postag":"n",
            "head":"3",
            "deprel":"SBV",
        },
        {
            "id":"3",
            "word":"怎么样",
            "postag":"r",
            "head":"0",
            "deprel":"HED",
        }
    ]
}

public void sample(AipNlp client) {
    String word = "张飞";

    // 传入可选参数调用接口
    HashMap<String, Object> options = new HashMap<String, Object>();
    
    // 词向量表示
    JSONObject res = client.wordEmbedding(word, options);
    System.out.println(res.toString(2));

}

{
  "word": "张飞",
  "vec": [
    0.233962,
    0.336867,
    0.187044,
    0.565261,
    0.191568,
    0.450725,
    ...
    0.43869,
    -0.448038,
    0.283711,
    -0.233656,
    0.555556
  ]
}

public void sample(AipNlp client) {
    String text = "床前明月光";

    // 传入可选参数调用接口
    HashMap<String, Object> options = new HashMap<String, Object>();
    
    // DNN语言模型
    JSONObject res = client.dnnlmCn(text, options);
    System.out.println(res.toString(2));

}

{
  "text": "床前明月光",
  "items": [
    {
      "word": "床",
      "prob": 0.0000385273
    },
    {
      "word": "前",
      "prob": 0.0289018
    },
    {
      "word": "明月",
      "prob": 0.0284406
    },
    {
      "word": "光",
      "prob": 0.808029
    }
  ],
  "ppl": 79.0651
}

public void sample(AipNlp client) {
    String word1 = "北京";
    String word2 = "上海";

    // 传入可选参数调用接口
    HashMap<String, Object> options = new HashMap<String, Object>();
   
    
    // 词义相似度
    JSONObject res = client.wordSimEmbedding(word1, word2, options);
    System.out.println(res.toString(2));

}

{
    "score": 0.456862,
    "words": {
      "word_1": "北京",
      "word_2": "上海"
    }
}

public void sample(AipNlp client) {
    String text1 = "浙富股份";
    String text2 = "万事通自考网";

    // 传入可选参数调用接口
    HashMap<String, Object> options = new HashMap<String, Object>();
    options.put("model", "CNN");
    
    // 短文本相似度
    JSONObject res = client.simnet(text1, text2, options);
    System.out.println(res.toString(2));

}

{
    "log_id": 12345,
    "texts":{
        "text_1":"浙富股份",
        "text_2":"万事通自考网"
    },
    "score":0.3300237655639648 //相似度结果
},

public void sample(AipNlp client) {
    String text = "三星电脑电池不给力";

    // 获取美食评论情感属性
    JSONObject response = client.commentTag("这家餐馆味道不错", ESimnetType.FOOD, options);
    System.out.println(response.toString());

    // 获取酒店评论情感属性
    response = client.commentTag("喜来登酒店不错", ESimnetType.HOTEL, options);
    System.out.println(response.toString());

}

{
    "items": [
        {
        "prop":"电池",
        "adj": "不给力",
        "sentiment": 0,
        "begin_pos": 8,
        "end_pos": 18,
        "abstract":"三星电脑<span>电池不给力</span>"
        }
    ]
}

public void sample(AipNlp client) {
    String text = "苹果是一家伟大的公司";

    // 传入可选参数调用接口
    HashMap<String, Object> options = new HashMap<String, Object>();
    
    // 情感倾向分析
    JSONObject res = client.sentimentClassify(text, options);
    System.out.println(res.toString(2));

}

{
    "text":"苹果是一家伟大的公司",
    "items":[
        {
            "sentiment":2,    //表示情感极性分类结果
            "confidence":0.40, //表示分类的置信度
            "positive_prob":0.73, //表示属于积极类别的概率
            "negative_prob":0.27  //表示属于消极类别的概率
        }
    ]
}

public void sample(AipNlp client) {
    String title = "iphone手机出现“白苹果”原因及解决办法，用苹果手机的可以看下";
    String content = "如果下面的方法还是没有解决你的问题建议来我们门店看下成都市锦江区红星路三段99号银石广场24层01室。";

    // 传入可选参数调用接口
    HashMap<String, Object> options = new HashMap<String, Object>();
    
    // 文章标签
    JSONObject res = client.keyword(title, content, options);
    System.out.println(res.toString(2));

}

{
    "log_id": 4457308639853058292,
    "items": [
        {
            "score": 0.997762,
            "tag": "iphone"
        },
        {
            "score": 0.861775,
            "tag": "手机"
        },
        {
            "score": 0.845657,
            "tag": "苹果"
        },
        {
            "score": 0.83649,
            "tag": "苹果公司"
        },
        {
            "score": 0.797243,
            "tag": "数码"
        }
    ]
}

public void sample(AipNlp client) {
    String title = "欧洲冠军杯足球赛";
    String content = "欧洲冠军联赛是欧洲足球协会联盟主办的年度足球比赛，代表欧洲俱乐部足球最高荣誉和水平，被认为是全世界最高素质、最具影响力以及最高水平的俱乐部赛事，亦是世界上奖金最高的足球赛事和体育赛事之一。";

    // 传入可选参数调用接口
    HashMap<String, Object> options = new HashMap<String, Object>();
    
    // 文章分类
    JSONObject res = client.topic(title, content, options);
    System.out.println(res.toString(2));

}

{
    "log_id": 5710764909216517248,
    "item": {
        "lv2_tag_list": [
            {
                "score": 0.895467,
                "tag": "足球"
            },
            {
                "score": 0.794878,
                "tag": "国际足球"
            }
        ],
        "lv1_tag_list": [
            {
                "score": 0.88808,
                "tag": "体育"
            }
        ]
    }
}

public void sample(AipNlp client) {
    String text = "百度是一家人工只能公司";

    // 传入可选参数调用接口
    HashMap<String, Object> options = new HashMap<String, Object>();
    
    // 文本纠错
    JSONObject res = client.ecnet(text, options);
    System.out.println(res.toString(2));

}

{
    "log_id": 6770395607901559829,
    "item": {
        "vec_fragment": [
            {
                "ori_frag": "只能",
                "begin_pos": 21,
                "correct_frag": "智能",
                "end_pos": 27
            }
        ],
        "score": 0.875169,
        "correct_query": "百度是一家人工智能公司"
    },
    "text": "百度是一家人工只能公司"
}

public void sample(AipNlp client) {
    String text = "本来今天高高兴兴";

    // 传入可选参数调用接口
    HashMap<String, Object> options = new HashMap<String, Object>();
    options.put("scene", "talk");
    
    // 对话情绪识别接口
    JSONObject res = client.emotion(text, options);
    System.out.println(res.toString(2));

}

{
    "log_id": 4258005459150262970,
    "text": "本来今天高高兴兴",
    "items": [
        {
            "prob": 0.998619,
            "label": "neutral"
        },
        {
            "prob": 0.00138141,
            "label": "pessimistic"
        },
    ]
}

public void sample(AipNlp client) {
    String content = "麻省理工学院的研究团队为无人机在仓库中使用RFID技术进行库存查找等工作，创造了一种...";
    int maxSummaryLen = 300;

    // 传入可选参数调用接口
    HashMap<String, Object> options = new HashMap<String, Object>();
    options.put("title", "标题");
    
    // 新闻摘要接口
    JSONObject res = client.newsSummary(content, maxSummaryLen, options);
    System.out.println(res.toString(2));

}

{
    "log_id": 4258005459150262970,
    "summary": "麻省理工学院的研究团队为无人机在仓库中使用RFID技术进行库存查找等工作，创造了一种聪明的新方式。使用RFID标签更换仓库中的条形码，将帮助提升自动化并提高库存管理的准确性。几家公司已经解决了无人机读取RFID的技术问题。麻省理工学院的新解决方案，名为Rfly，允许无人机阅读RFID标签，而不用捆绑巨型读卡器。无人机接收从远程RFID读取器发送的信号，然后转发它读取附近的标签。"
}

public void sample(AipNlp client) {
    String text = "上海市浦东新区纳贤路701号百度上海研发中心 F4A000 张三";

    // 传入可选参数调用接口
    HashMap<String, Object> options = new HashMap<String, Object>();
    
    // 地址识别接口
    JSONObject res = client.address(text, options);
    System.out.println(res.toString(2));

}

{
    "province": "上海市",
    "city": "上海市",
    "province_code": "310000",
    "log_id": 1420038644986026316,
    "text": "上海市浦东新区纳贤路701号百度上海研发中心 F4A000 张三",
    "town": "张江镇",
    "phonenum": "",
    "detail": "纳贤路701号百度上海研发中心F4A000",
    "county": "浦东新区",
    "person": "张三",
    "town_code": "310115125",
    "county_code": "310115",
    "city_code": "310100"
}