Java自然语言处理实现基于酒店评价的词云可视化（前端与后端交互使用）_java 自然语言处理

目录

一、数据源

二、后端API

三、后端测试

四、前端API

五、可视化展示

1.正面词汇好评

 2.负面词汇差评

 六、好了今天就到这里，下下次再更新哦！

一、数据源

二、后端API

package com.example.springbootdemo.web;
import com.hankcs.hanlp.HanLP;
 
import com.hankcs.hanlp.seg.common.Term;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RestController;
import java.io.*;
import java.util.ArrayList;
import java.util.LinkedList;
import java.util.List;
import java.util.function.Predicate;
import java.util.stream.Collectors;
 
 
@RestController
public class WordCloud {
 
 
    @GetMapping("/wordcloud")
    /**
     * 获取词云
     * @param type 好评，坏评
     * @return 分词列表
     */
    public List<Word> wordcloud(String type) {
 
        String wordcloudPath = "F:\\Java-data\\ChnSentiCorp情感分析酒店评论\\wordcloud\\";
        File wordcloudPathFile = new File(wordcloudPath);
        if (!wordcloudPathFile.exists()) {
            wordcloudPathFile.mkdirs();
        }
        File wordcloudFile = new File(wordcloudPath, type);
        if (wordcloudFile.exists()) {
            ObjectInputStream objectInputStream = null;
            try {
                objectInputStream = new ObjectInputStream(new FileInputStream(wordcloudFile));
                LinkedList<Word> words = (LinkedList<Word>) objectInputStream.readObject();
                if (words != null) {
                    return words;
                }
            } catch (IOException | ClassNotFoundException e) {
                e.printStackTrace();
            } finally {
                try {
                    objectInputStream.close();
                } catch (IOException e) {
                    e.printStackTrace();
                }
            }
        }
        if (type.equals("")) {
            return new ArrayList<>(0);
        }
        String path = "F:\\Java-data\\ChnSentiCorp情感分析酒店评论\\" + type;
        File dir = new File(path);
        File[] files = dir.listFiles(File::isFile);
        StringBuilder text = new StringBuilder();
        for (File file : files) {
            try {
                BufferedReader bufferedReader = new BufferedReader(new FileReader(file));
                String line = bufferedReader.readLine();
                line = line.replaceAll("[~!@#$%^&*()_+\\-*/.,\\.?/|\":;\\=]", "");
                text.append(line);
            } catch (IOException e) {
                e.printStackTrace();
            }
        }
        List<Term> segment = HanLP.segment(text.toString());
        List<Term> segmentWord = segment.stream().filter(new Predicate<Term>() {
            @Override
            public boolean test(Term term) {
                return term.nature.toString().equalsIgnoreCase("a");
            }
        }).collect(Collectors.toList());
        List<String> segmentWordString = segmentWord.stream().map(term -> term.word).collect(Collectors.toList());
        try {
            List<String> stopWords = StopWorrUtil.loadStopWord("F:\\Java-data\\停留词.txt");
            // 去停留词
            segmentWordString.removeAll(stopWords);
        } catch (IOException e) {
            e.printStackTrace();
        }
        // 统计分词次数
        LinkedList<Word> words = new LinkedList<>();
        for (String word : segmentWordString) {
            // 第一次循环
            if (words.size() == 0) {
                words.add(new Word(word, 1));
            }
            // 第2 - n 次循环
            boolean exists = false;
            Word word1 = null;
            for (Word value : words) {
                word1 = value;
                if (word1.getName().equals(word)) {
                    exists = true;
                    break;
                }
            }
            if (exists) {
                word1.setValue(word1.getValue() + 1);
            } else {
                words.add(new Word(word, 1));
            }
        }
        try {
            ObjectOutputStream objectOutputStream = new ObjectOutputStream(new FileOutputStream(wordcloudFile));
            objectOutputStream.writeObject(words);
            objectOutputStream.flush();
        } catch (IOException e) {
            e.printStackTrace();
        }
        return words;
    }
}

三、后端测试

四、前端API

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <title>词云</title>
</head>
<body>
<div class="btn-group">
    <button onclick="loadAndShowWordCloud('正面')" style="text-align: center; color: coral">正面</button>
    <button onclick="loadAndShowWordCloud('负面')" style="text-align: center; color: coral">负面</button>
</div>
<div id="main" style="width: 500px; height: 500px"></div>
</body>
</html>
<script src="./js/echarts.min.js"></script>
<script src="./js/echarts-wordcloud.min.js"></script>
<script>
    function loadAndShowWordCloud(type = '正面') {
        var request = new XMLHttpRequest()
        request.open('GET', '/wordcloud?type=' + type)
        request.send()
        request.onreadystatechange = function () {
            if (request.readyState === 4) {
                var chart = echarts.init(document.getElementById('main'));
                chart.setOption({
                    series:
                        [{
                            type: 'wordCloud',
                            shape: 'star',
                            /**
                             * // 词云的形状，可选值有
                             * cardioid心形,diamond菱形,square正方形,
                             * triangle-forward指向右边的三角形,triangle-upright正三角形
                             * triangle三角形，pentagon五角形，star五角星形，
                             */
                            keepAspect: false,
                            left: 'center',
                            top: 'center',
                            width: '100%',
                            height: '100%',
                            rotationStep: 90,
                            gridSize: 8,
                            drawOutOfBound: false,
                            shrinkToFit: false,
                            layoutAnimation: true,
                            textStyle: {
                                fontFamily: 'sans-serif',
                                fontWeight: 'bold',
                                // Color can be a callback function or a color string
                                color: function () {
                                    // Random color
                                    return 'rgb(' + [
                                        Math.round(Math.random() * 160),
                                        Math.round(Math.random() * 160),
                                        Math.round(Math.random() * 160)
                                    ].join(',') + ')';
                                }
                            },
                            emphasis: {
                                focus: 'self',
 
                                textStyle: {
                                    textShadowBlur: 10,
                                    textShadowColor: '#333'
                                }
                            },
                            data: JSON.parse(request.responseText)
                        }]
                });
            }
        }
    }
    loadAndShowWordCloud()
</script>

五、可视化展示

1.正面词汇好评

 2.负面词汇差评

 六、好了今天就到这里，下下次再更新哦！