使用前提：服务开通与资源包购买
- 自然语言处理：开通地址
- NLP自学习平台：开通地址
- 获取阿里云账号的AccessKey ID 和AccessKey Secret
操作步骤：
1.添加pom依赖
<dependency>
<groupId>com.aliyun</groupId>
<artifactId>aliyun-java-sdk-core</artifactId>
<version>4.5.14</version>
</dependency>
<dependency>
<groupId>com.aliyun</groupId>
<artifactId>aliyun-java-sdk-nlp-automl</artifactId>
<version>0.0.8</version>
</dependency>
2.Code Sample
import com.aliyuncs.DefaultAcsClient;
import com.aliyuncs.IAcsClient;
import com.aliyuncs.exceptions.ClientException;
import com.aliyuncs.nlp_automl.model.v20191111.RunPreTrainServiceRequest;
import com.aliyuncs.nlp_automl.model.v20191111.RunPreTrainServiceResponse;
import com.aliyuncs.profile.DefaultProfile;
import com.google.gson.Gson;
import com.google.gson.GsonBuilder;
// 自然语言处理预训练模型 简历抽取服务
public class JianLi {
public static void main(String[] args) throws ClientException {
DefaultProfile defaultProfile = DefaultProfile.getProfile("cn-hangzhou","XXXXXXXXXX","XXXXXXXXXX");
IAcsClient client = new DefaultAcsClient(defaultProfile);
String content = "张某 ID:61111111\n" +
"186123333333\u0003\n" +
"zhang@126.com\n" +
"男|29 岁 (1990/07/27)|现居住南京-玄武区|8年工作经验\n" +
"职位： 软件测试工程师";
RunPreTrainServiceRequest request = new RunPreTrainServiceRequest();
request.setServiceName("ResumeExtractorZH");
request.setPredictContent(content);
RunPreTrainServiceResponse response = client.getAcsResponse(request);
System.out.println(response.getPredictResult());
/* Gson gson=new GsonBuilder().disableHtmlEscaping().create();
System.out.println(gson.toJson(response.getPredictResult()));*/
String s=decodeUnicode(response.getPredictResult());
System.out.println(s);
}
public static String decodeUnicode(String theString) {
char aChar;
int len = theString.length();
StringBuffer outBuffer = new StringBuffer(len);
for (int x = 0; x < len;) {
aChar = theString.charAt(x++);
if (aChar == '\\') {
aChar = theString.charAt(x++);
if (aChar == 'u') {
// Read the xxxx
int value = 0;
for (int i = 0; i < 4; i++) {
aChar = theString.charAt(x++);
switch (aChar) {
case '0':
case '1':
case '2':
case '3':
case '4':
case '5':
case '6':
case '7':
case '8':
case '9':
value = (value << 4) + aChar - '0';
break;
case 'a':
case 'b':
case 'c':
case 'd':
case 'e':
case 'f':
value = (value << 4) + 10 + aChar - 'a';
break;
case 'A':
case 'B':
case 'C':
case 'D':
case 'E':
case 'F':
value = (value << 4) + 10 + aChar - 'A';
break;
default:
throw new IllegalArgumentException(
"Malformed \\uxxxx encoding.");
}
}
outBuffer.append((char) value);
} else {
if (aChar == 't')
aChar = '\t';
else if (aChar == 'r')
aChar = '\r';
else if (aChar == 'n')
aChar = '\n';
else if (aChar == 'f')
aChar = '\f';
outBuffer.append(aChar);
}
} else
outBuffer.append(aChar);
}
return outBuffer.toString();
}
}
3.测试结果
{"result": [{"tags": [{"class": "\u59d3\u540d", "source": "rule", "span": "\u5f20\u67d0"}], "id": 0, "sent_offsets": 0, "sentence": "\u5f20\u67d0 ID:61111111"}, {"tags": [{"start": 0, "end": 12, "conf": 0, "span": "186123333333", "source": "model", "class": "\u624b\u673a\u53f7"}], "id": 0, "sent_offsets": 1, "sentence": "186123333333\u0003"}, {"tags": [{"class": "\u7535\u5b50\u90ae\u7bb1", "source": "rule", "span": "zhang@126.com"}], "id": 0, "sent_offsets": 2, "sentence": "zhang@126.com"}, {"tags": [{"start": 8, "end": 18, "conf": 0, "span": "1990/07/27", "source": "model", "class": "\u51fa\u751f\u65e5\u671f"}, {"class": "\u6027\u522b", "source": "rule", "span": "\u7537"}], "id": 0, "sent_offsets": 3, "sentence": "\u7537|29 \u5c81 (1990/07/27)|\u73b0\u5c45\u4f4f\u5357\u4eac-\u7384\u6b66\u533a|8\u5e74\u5de5\u4f5c\u7ecf\u9a8c"}, {"tags": [{"start": 4, "end": 11, "conf": 0, "span": "\u8f6f\u4ef6\u6d4b\u8bd5\u5de5\u7a0b\u5e08", "source": "model", "class": "\u5c97\u4f4d\u540d\u79f0"}], "id": 0, "sent_offsets": 4, "sentence": "\u804c\u4f4d\uff1a \u8f6f\u4ef6\u6d4b\u8bd5\u5de5\u7a0b\u5e08"}], "message": "", "time": 22, "ret_code": 0}
{"result": [{"tags": [{"class": "姓名", "source": "rule", "span": "张某"}], "id": 0, "sent_offsets": 0, "sentence": "张某 ID:61111111"}, {"tags": [{"start": 0, "end": 12, "conf": 0, "span": "186123333333", "source": "model", "class": "手机号"}], "id": 0, "sent_offsets": 1, "sentence": "186123333333"}, {"tags": [{"class": "电子邮箱", "source": "rule", "span": "zhang@126.com"}], "id": 0, "sent_offsets": 2, "sentence": "zhang@126.com"}, {"tags": [{"start": 8, "end": 18, "conf": 0, "span": "1990/07/27", "source": "model", "class": "出生日期"}, {"class": "性别", "source": "rule", "span": "男"}], "id": 0, "sent_offsets": 3, "sentence": "男|29 岁 (1990/07/27)|现居住南京-玄武区|8年工作经验"}, {"tags": [{"start": 4, "end": 11, "conf": 0, "span": "软件测试工程师", "source": "model", "class": "岗位名称"}], "id": 0, "sent_offsets": 4, "sentence": "职位： 软件测试工程师"}], "message": "", "time": 22, "ret_code": 0}
更多参考
json中包含Unicode转码问题
响应返回JSON数据时出现的unicode编码问题
预训练模型使用教程
简历抽取（中文）服务
