HarmonyOS AI基础技术赋能之关键字获取 原创 精华
软通动力HOS
发布于 2021-8-18 16:16
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引言
在实际应用开发中,时不时的会遇到AI领域相关的一些技术,本节旨在详细讲述关键字获取技术,关键字获取涉及各个领域中,如:游记摘要、新闻标签、杂志文刊等。所以对于HarmonyOS开发者而言,了解和掌握HarmonyOS AI领域相关技术是至关重要的,也是每一个HarmonyOS开发者的一项必不可少的专业技能。
功能介绍
关键字提取主要用于从新闻和邮件里提取出关键字,便于用户快速获取新闻和邮件的主题。关键字可以为有意义的实体,比如,人名、电影,也可以为非实体的关键词汇,如,上课、考研。
开发指南
1、使用NluClient静态类进行初始化,通过异步方式获取服务的连接
NluClient.getInstance().init(context, new OnResultListener<Integer>(){
@Override
public void onResult(Integer result){
// 初始化成功回调,在服务初始化成功调用该函数
}
}, true);
2、调用获取关键词提取方法得到分析结果,同一个接口提供了同步和异步两个方法
同步:
String requestData= "{number:2,body:'今天我们一起去上课吧',title:'一起去上课'}";
ResponseResult respResult = NluClient.getInstance().getKeywords(requestData, NluRequestType.REQUEST_TYPE_LOCAL);
if (null != respResult){
// 获取接口返回结果,参考接口文档返回使用
String result = respResult.getResponseResult();
}
异步:
// 待分析文本
String requestData= "{number:2,body:'今天我们一起去上课吧',title:'一起去上课'}";
// 调用接口
NluClient.getInstance().getKeywords(requestData, NluRequestType.REQUEST_TYPE_LOCAL,new OnResultListener<ResponseResult>(){
@Override
public void onResult(ResponseResult respResult)
{
// 异步返回
if(null != respResult && NluError.SUCCESS_RESULT == respResult.getCode())
{
// 获取接口返回结果,参考接口文档返回使用
String result = respResult.getResponseResult();
}
}
});
3、使用结束调用destroy()方法释放进程资源
NluClient.getInstance().destroy(this);
示例代码
1、xml布局
<?xml version="1.0" encoding="utf-8"?>
<DirectionalLayout
xmlns:ohos="http://schemas.huawei.com/res/ohos"
ohos:height="match_parent"
ohos:orientation="vertical"
ohos:width="match_parent">
<Text
ohos:background_element="$graphic:background_ability_main"
ohos:height="match_content"
ohos:layout_alignment="horizontal_center"
ohos:multiple_lines="true"
ohos:text="$string:title"
ohos:top_margin="50vp"
ohos:text_size="50"
ohos:width="match_content"
/>
<Text
ohos:background_element="$graphic:background_ability_main"
ohos:height="match_content"
ohos:layout_alignment="horizontal_center"
ohos:multiple_lines="true"
ohos:left_margin="10vp"
ohos:right_margin="10vp"
ohos:text="body:'同步-今天我们一起去上课吧',title:'同步-一起去上课'-body:'异步-今天我们一起去上班吧',title:'异步-我们去上班'"
ohos:top_margin="50vp"
ohos:text_size="50"
ohos:width="match_content"
/>
<Text
ohos:background_element="$graphic:background_ability_main"
ohos:height="match_content"
ohos:id="$+id:text_content"
ohos:layout_alignment="horizontal_center"
ohos:multiple_lines="true"
ohos:top_margin="50vp"
ohos:left_margin="10vp"
ohos:right_margin="10vp"
ohos:text_size="50"
ohos:width="match_content"
/>
<Text
ohos:background_element="$graphic:background_ability_main"
ohos:height="match_content"
ohos:id="$+id:text_asynchronous"
ohos:layout_alignment="horizontal_center"
ohos:text="$string:asynchronous"
ohos:top_margin="50vp"
ohos:text_size="50"
ohos:width="match_content"
/>
<Text
ohos:background_element="$graphic:background_ability_main"
ohos:height="match_content"
ohos:id="$+id:text_synchronization"
ohos:layout_alignment="horizontal_center"
ohos:text="$string:synchronization"
ohos:top_margin="50vp"
ohos:text_size="50"
ohos:width="match_content"
/>
</DirectionalLayout>
2、案例代码
package com.example.keywords.slice;
import com.example.keywords.ResourceTable;
import ohos.aafwk.ability.AbilitySlice;
import ohos.aafwk.content.Intent;
import ohos.agp.components.Component;
import ohos.agp.components.Component.ClickedListener;
import ohos.agp.components.Text;
import ohos.ai.nlu.NluClient;
import ohos.ai.nlu.NluRequestType;
import ohos.ai.nlu.ResponseResult;
import ohos.ai.nlu.util.NluError;
public class MainAbilitySlice extends AbilitySlice implements ClickedListener {
private Text text_content;
@Override
public void onStart(Intent intent) {
super.onStart(intent);
super.setUIContent(ResourceTable.Layout_ability_main);
text_content = (Text) findComponentById(ResourceTable.Id_text_content);
Text text_synchronization = (Text) findComponentById(ResourceTable.Id_text_synchronization);
Text text_asynchronous = (Text) findComponentById(ResourceTable.Id_text_asynchronous);
text_synchronization.setClickedListener(this);
text_asynchronous.setClickedListener(this);
// 使用NluClient静态类初始化,通过异步方式获取服务连接
NluClient.getInstance().init(this, null, true);
}
@Override
public void onClick(Component component) {
switch (component.getId()) {
case ResourceTable.Id_text_synchronization:
String requestData = "{number:3,body:'同步-今天我们一起去上课吧',title:'同步-一起去上课'}";
ResponseResult responseResult = NluClient.getInstance()
.getKeywords(requestData, NluRequestType.REQUEST_TYPE_LOCAL);
if (responseResult != null) {
text_content.setText(responseResult.getResponseResult());
}
break;
case ResourceTable.Id_text_asynchronous:
String rData = "{number:3,body:'异步-今天我们一起去上班吧',title:'异步-我们去上班'}";
NluClient.getInstance().getKeywords(rData, NluRequestType.REQUEST_TYPE_LOCAL,
responseResult1 -> {
if (responseResult1 != null && NluError.SUCCESS_RESULT == responseResult1.getCode()) {
getAbility().getUITaskDispatcher().syncDispatch(() -> text_content.setText(responseResult1.getResponseResult()));
}
});
break;
default:
break;
}
}
@Override
protected void onBackground() {
super.onBackground();
NluClient.getInstance().destroy(this);
}
}
实现效果
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已于2021-8-25 09:50:51修改
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提取关键词确实在AI中经常用到。
软通老师加油
感谢支持
筑牢基础才是关键
我看到HarmonyOS中还有提供了其他的AI识别功能 应该是同出一辙
感谢软通动力分享