一 導(dǎo)入依賴

<!-- ansj分詞器 -->
<dependency>
    <groupId>org.ansj</groupId>
    <artifactId>ansj_seg</artifactId>
    <version>5.1.6</version>
</dependency>

二、分詞方式

package com.vortex.commonAPI.controller;

import javax.servlet.http.HttpServletRequest;

import org.ansj.splitWord.analysis.BaseAnalysis;
import org.ansj.splitWord.analysis.IndexAnalysis;
import org.ansj.splitWord.analysis.NlpAnalysis;
import org.ansj.splitWord.analysis.ToAnalysis;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestMethod;
import org.springframework.web.bind.annotation.RestController;

@RestController
@RequestMapping(value = "ansjSegmenter")
public class AnsjSegmenterController {
    // 1.基本分詞-BaseAnalysis
    // 最小粒度 功能有限
    @RequestMapping(value = "/baseAnalysis", method = RequestMethod.GET)
    public Object baseAnalysis(HttpServletRequest request) {
        String words = request.getParameter("words");
        return BaseAnalysis.parse(words);
        // 不帶詞性
        // return BaseAnalysis.parse(words).toStringWithOutNature();
    }

    // 2.精準(zhǔn)分詞-ToAnalysis
    // 它在易用性,穩(wěn)定性.準(zhǔn)確性.以及分詞效率上.都取得了一個(gè)不錯(cuò)的平衡。
    @RequestMapping(value = "/toAnalysis", method = RequestMethod.GET)
    public Object toAnalysis(HttpServletRequest request) {
        String words = request.getParameter("words");
        return ToAnalysis.parse(words);
        // 不帶詞性
        // return ToAnalysis.parse(words).toStringWithOutNature();
    }

    // 3.nlp分詞-NlpAnalysis
    // nlp的適用方式：語(yǔ)法實(shí)體名抽取.未登錄詞整理.
    @RequestMapping(value = "/nlpAnalysis", method = RequestMethod.GET)
    public Object nlpAnalysis(HttpServletRequest request) {
        String words = request.getParameter("words");
        return NlpAnalysis.parse(words);
        // 不帶詞性
        // return NlpAnalysis.parse(words).toStringWithOutNature();
    }

    // 4.面向索引的分詞-IndexAnalysis
    // 面向索引的分詞，故名思議就是適合在lucene等文本檢索中用到的分詞。
    // 召回率:召回率是對(duì)分詞結(jié)果盡可能的涵蓋
    // 準(zhǔn)確率:其實(shí)這和召回本身是具有一定矛盾性,Ansj的強(qiáng)大之處是很巧妙的避開了這兩個(gè)的沖突
    @RequestMapping(value = "/indexAnalysis", method = RequestMethod.GET)
    public Object indexAnalysis(HttpServletRequest request) {
        String words = request.getParameter("words");
        return IndexAnalysis.parse(words);
        // 不帶詞性
        // return IndexAnalysis.parse(words).toStringWithOutNature();
    }
}

三、功能統(tǒng)計(jì)

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