//最简单实例

String ruiec = “分词测试123456100名”;

            //剔除指定的分词

                s.insertStopWords("100名");

                //剔除标点符号(w)

                s.insertStopNatures("w");

                //删除指定字

                s.insertStopRegexes("请.*?");

 String result1=ToAnalysis.parse(ruiec).recognition(s).toStringWithOutNature().replaceAll(","," ");

System.out.println(result1);

import org.ansj.app.keyword.KeyWordComputer;

import org.ansj.app.keyword.Keyword;

import org.ansj.domain.Result;

import org.ansj.domain.Term;

import org.ansj.recognition.impl.StopRecognition;

import org.ansj.splitWord.analysis.ToAnalysis;

import java.util.*;

/**

 * Created by Liu

 */

public class SplitWordsByAnsj {

    public Keyword spiltword(String word) {

        KeyWordComputer<?> kwc = new KeyWordComputer(5);

        StopRecognition s = new StopRecognition();

                List<Keyword> result=kwc.computeArticleTfidf(word);

                 return result.get(0);

    }

    public static void main(String[] args) {

        String word = "政务云是指通过云计算技术，统筹机房、计算、应用支撑、信息资源等，发挥云计算的虚拟化、高可靠性、高通用性、高可扩展性，使其数据处理快速、按需、弹性服务，为*行业提供基础设施、支撑软件、应用系统、信息资源、运行保障和信息安全等综合服务平台。";

        SplitWordsByAnsj ansj= new SplitWordsByAnsj();

        System.out.println(ansj.spiltword(word).toString());//词组

        System.out.println(ansj.spiltword(word).getScore());//词组的权重

    }

}

public class SplitWordsByAnsj {

    public Keyword spiltword(String title,String content) {

        KeyWordComputer<?> kwc = new KeyWordComputer(5);

        StopRecognition s = new StopRecognition();

                //List<Keyword> result=kwc.computeArticleTfidf(word);

                List<Keyword> result1=kwc.computeArticleTfidf(title, content);

                 return result1.get(0);

    }

    public static void main(String[] args) {

        String title ="政务云是云计算技术";

        String content = "政务云（Government Cloud）是指通过云计算技术，统筹机房、计算、应用支撑、信息资源等，发挥云计算的虚拟化、高可靠性、高通用性、高可扩展性，使其数据处理快速、按需、弹性服务，为*行业提供基础设施、支撑软件、应用系统、信息资源、运行保障和信息安全等综合服务平台。";

        SplitWordsByAnsj ansj= new SplitWordsByAnsj();

        System.out.println(ansj.spiltword(title,content).toString());//词组

        System.out.println(ansj.spiltword(title,content).getScore());//词组的权重

    }

}