diff --git a/ruoyi-biemo/src/main/java/com/ruoyi/biemo/business/controller/DocInfoController.java b/ruoyi-biemo/src/main/java/com/ruoyi/biemo/business/controller/DocInfoController.java
index 5511f83..3b53fa9 100644
--- a/ruoyi-biemo/src/main/java/com/ruoyi/biemo/business/controller/DocInfoController.java
+++ b/ruoyi-biemo/src/main/java/com/ruoyi/biemo/business/controller/DocInfoController.java
@@ -11,6 +11,7 @@ import com.hankcs.hanlp.seg.Segment;
 import com.hankcs.hanlp.seg.common.Term;
 import com.ruoyi.biemo.business.domain.Category;
 import com.ruoyi.biemo.business.domain.DocInfo;
+import com.ruoyi.biemo.business.domain.EmotionResult;
 import com.ruoyi.biemo.business.domain.WordCloudItem;
 import com.ruoyi.biemo.business.service.CategoryService;
 import com.ruoyi.biemo.business.service.DocInfoService;
@@ -77,8 +78,15 @@ public class DocInfoController extends BaseController {
     @GetMapping("/getWordCloudByCateId/{categoryId}")
     public AjaxResult getWordCloudByCateId(@PathVariable String categoryId){
         List<WordCloudItem> wordCloudItems = docInfoService.getWordCloudByCateId(categoryId);
+
         return AjaxResult.success(wordCloudItems);
     }
+
+    @GetMapping("/getEmotionAnalysisByCateId/{categoryId}")
+        public AjaxResult getEmotionAnalysis(@PathVariable String categoryId){
+        EmotionResult emotionResult = docInfoService.getEmotionAnalysis(categoryId);
+        return AjaxResult.success(emotionResult);
+    }
     /**
      * 导出文章管理列表
      */
diff --git a/ruoyi-biemo/src/main/java/com/ruoyi/biemo/business/domain/EmotionResult.java b/ruoyi-biemo/src/main/java/com/ruoyi/biemo/business/domain/EmotionResult.java
new file mode 100644
index 0000000..8cb3a51
--- /dev/null
+++ b/ruoyi-biemo/src/main/java/com/ruoyi/biemo/business/domain/EmotionResult.java
@@ -0,0 +1,50 @@
+package com.ruoyi.biemo.business.domain;
+
+public class EmotionResult {
+    private String downName;
+    private String upName;
+    private int downCount;
+    private int upCount;
+
+    public EmotionResult(String downName, String upName, int downCount, int upCount) {
+        this.downName = downName;
+        this.upName = upName;
+        this.downCount = downCount;
+        this.upCount = upCount;
+    }
+
+    public String getDownName() {
+        return downName;
+    }
+
+    public String getUpName() {
+        return upName;
+    }
+
+    public int getDownCount() {
+        return downCount;
+    }
+
+    public int getUpCount() {
+        return upCount;
+    }
+
+    public void setDownName(String downName) {
+        this.downName = downName;
+    }
+
+    public void setUpName(String upName) {
+        this.upName = upName;
+    }
+
+    public void setDownCount(int downCount) {
+        this.downCount = downCount;
+    }
+
+    public void setUpCount(int upCount) {
+        this.upCount = upCount;
+    }
+
+    public EmotionResult() {
+    }
+}
diff --git a/ruoyi-biemo/src/main/java/com/ruoyi/biemo/business/service/DocInfoService.java b/ruoyi-biemo/src/main/java/com/ruoyi/biemo/business/service/DocInfoService.java
index 8138bb3..8ea237d 100644
--- a/ruoyi-biemo/src/main/java/com/ruoyi/biemo/business/service/DocInfoService.java
+++ b/ruoyi-biemo/src/main/java/com/ruoyi/biemo/business/service/DocInfoService.java
@@ -4,10 +4,7 @@ import com.alibaba.fastjson.JSONObject;
 import com.github.pagehelper.util.StringUtil;
 import com.hankcs.hanlp.seg.common.Term;
 import com.hankcs.hanlp.tokenizer.NLPTokenizer;
-import com.ruoyi.biemo.business.domain.DocInfo;
-import com.ruoyi.biemo.business.domain.Node;
-import com.ruoyi.biemo.business.domain.Relationship;
-import com.ruoyi.biemo.business.domain.WordCloudItem;
+import com.ruoyi.biemo.business.domain.*;
 import com.ruoyi.biemo.business.domain.event.DocInfoDeleteEvent;
 import com.ruoyi.biemo.business.domain.event.DocInfoSaveEvent;
 import com.ruoyi.biemo.business.response.MyResultResponse;
@@ -15,6 +12,7 @@ import com.ruoyi.biemo.core.page.Page;
 import com.ruoyi.biemo.elasticsearch.util.EsService;
 import com.ruoyi.biemo.mongodb.utils.MongoHelper;
 import com.ruoyi.biemo.nlp.DependencyParserUtils;
+import com.ruoyi.biemo.nlp.SentimentAnalysisUtils;
 import com.ruoyi.biemo.nlp.SummaryUtils;
 import com.ruoyi.biemo.utils.MyObjects;
 import com.ruoyi.common.core.domain.AjaxResult;
@@ -238,7 +236,7 @@ public class DocInfoService extends EsService<DocInfo> {
             }
 //            获取命名实体
             try {
-                Map<String,Set<String>> nerTagSet = DependencyParserUtils.getMyNERTagSet(strArr);
+                Map<String, Set<String>> nerTagSet = DependencyParserUtils.getMyNERTagSet(strArr);
                 docInfo.setParserNamedEntity(JSONObject.toJSONString(nerTagSet));
                 docInfo.setSummary(SummaryUtils.autoSummary(content));
             } catch (Exception e) {
@@ -344,19 +342,19 @@ public class DocInfoService extends EsService<DocInfo> {
             }
         }
         MyResultResponse myResultResponse = new MyResultResponse();
-        List<MyResultResponse.Datas> results =  new ArrayList<>();
+        List<MyResultResponse.Datas> results = new ArrayList<>();
         List<MyResultResponse.Datas> results2 = response2.getResults();
         List<MyResultResponse.Datas> results3 = response3.getResults();
 
-        results.addAll(0,results3);
-        results.addAll(1,results2);
+        results.addAll(0, results3);
+        results.addAll(1, results2);
 
         List<String> errors = myResultResponse.getErrors();
         errors.addAll(response2.getErrors());
         errors.addAll(response3.getErrors());
         myResultResponse.setResults(results);
         myResultResponse.setErrors(errors);
-         return myResultResponse;
+        return myResultResponse;
     }
 
     //文章管理--批量分析
@@ -449,28 +447,29 @@ public class DocInfoService extends EsService<DocInfo> {
 //        insertOrUpdateDocInfo(docInfo);
         return response;
     }
+
     public List<WordCloudItem> getWordCloudByCateId(String categoryId) {
         String regex = "<.*?>"; // 匹配HTML标签的正则表达式
-        Map<String,Integer> temp = new ConcurrentHashMap<>();
+        Map<String, Integer> temp = new ConcurrentHashMap<>();
         List<WordCloudItem> wordCloudItemList = new ArrayList<>();
         DocInfo docInfo = new DocInfo();
         docInfo.setCateId(categoryId);
         List<DocInfo> docInfoList = selectDocInfoList(docInfo);
-        if(CollectionUtils.isNotEmpty(docInfoList)){
-            List<Term> termList = docInfoList.parallelStream().filter(ObjectUtils::isNotEmpty).flatMap(_docInfo -> NLPTokenizer.segment(_docInfo.getContent().replaceAll(regex, "").replaceAll("\\s+","").replaceAll("[,，　　'“”.。]", "").trim()).stream()).collect(Collectors.toList());
-            if(CollectionUtils.isNotEmpty(termList)){
+        if (CollectionUtils.isNotEmpty(docInfoList)) {
+            List<Term> termList = docInfoList.parallelStream().filter(ObjectUtils::isNotEmpty).flatMap(_docInfo -> NLPTokenizer.segment(_docInfo.getContent().replaceAll(regex, "").replaceAll("\\s+", "").replaceAll("[,，　　'“”.。]", "").trim()).stream()).collect(Collectors.toList());
+            if (CollectionUtils.isNotEmpty(termList)) {
                 termList.parallelStream().forEach(term -> {
                     String word = term.word;
                     Integer value = term.getFrequency();
-                    if(!temp.containsKey(word)){
-                        temp.put(word,1);
-                    }else{
-                        temp.put(word,temp.get(word)+1);
+                    if (!temp.containsKey(word)) {
+                        temp.put(word, 1);
+                    } else {
+                        temp.put(word, temp.get(word) + 1);
                     }
                 });
             }
         }
-        for(Map.Entry<String,Integer> entry : temp.entrySet()){
+        for (Map.Entry<String, Integer> entry : temp.entrySet()) {
             WordCloudItem wordCloudItem = new WordCloudItem();
             wordCloudItem.setName(entry.getKey());
             wordCloudItem.setValue(entry.getValue());
@@ -478,4 +477,48 @@ public class DocInfoService extends EsService<DocInfo> {
         }
         return wordCloudItemList;
     }
+
+    public EmotionResult getEmotionAnalysis(String categoryId) {
+        String regex = "<.*?>"; // 匹配HTML标签的正则表达式
+        Map<String, Integer> temp = new ConcurrentHashMap<>();
+//        List<EmotionResult> emotionResultItemList = new ArrayList<>();
+        EmotionResult emotionResult1 = new EmotionResult();
+        DocInfo docInfo = new DocInfo();
+        docInfo.setCateId(categoryId);
+        List<DocInfo> docInfoList = selectDocInfoList(docInfo);
+        if (CollectionUtils.isNotEmpty(docInfoList)) {
+            List<Term> termList = docInfoList.parallelStream().filter(ObjectUtils::isNotEmpty).flatMap(_docInfo -> NLPTokenizer.segment(_docInfo.getContent().replaceAll(regex, "").replaceAll("\\s+", "").replaceAll("[,，　　'“”.。]", "").trim()).stream()).collect(Collectors.toList());
+            if (CollectionUtils.isNotEmpty(termList)) {
+                termList.parallelStream().forEach(term -> {
+                    String word = term.word;
+                    Integer value = term.getFrequency();
+                    if (!temp.containsKey(word)) {
+                        temp.put(word, 1);
+                    } else {
+                        temp.put(word, temp.get(word) + 1);
+                    }
+                });
+            }
+        }
+        int count = 0;
+        int count2 = 0;
+        for (Map.Entry<String, Integer> entry : temp.entrySet()) {
+            EmotionResult emotionResult = new EmotionResult();
+            String key = entry.getKey();
+            String analysis = SentimentAnalysisUtils.analysis(key);
+            if (analysis.equals("正面")) {
+                count++;
+            } else {
+                count2++;
+            }
+            emotionResult.setUpCount(count);
+            emotionResult.setDownCount(count2);
+//            emotionResultItemList.add(emotionResult);
+            emotionResult1 = emotionResult;
+        }
+        emotionResult1.setDownName("负面");
+        emotionResult1.setUpName("正面");
+        return emotionResult1;
+    }
 }
+