From 38ed99b928b53dbee361ef7ec92e6d52fcb3d96e Mon Sep 17 00:00:00 2001
From: p7mpv4cbt <1352787923@qq.com>
Date: Wed, 5 Nov 2025 11:28:35 +0800
Subject: [PATCH] ADD file via upload

---
 MainApplication.java | 83 ++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 83 insertions(+)
 create mode 100644 MainApplication.java

diff --git a/MainApplication.java b/MainApplication.java
new file mode 100644
index 0000000..4b42eb0
--- /dev/null
+++ b/MainApplication.java
@@ -0,0 +1,83 @@
+// src/main/java/com/llm/analysis/MainApplication.java
+package com.llm.analysis;
+
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Map;
+
+public class MainApplication {
+
+    private static final String SEARCH_KEYWORD = "大语言模型";
+    private static final int TOP_N_WORDS = 8;
+    private static final String OUTPUT_FILENAME = "llm_analysis_top8.xlsx";
+
+    public static void main(String[] args) {
+        System.out.println("--- LLM 应用弹幕分析项目启动 ---");
+        System.out.println("目标关键词：" + SEARCH_KEYWORD);
+        
+        // 1. 获取前 300 视频列表 (BVID 和 Title)
+        List<Map<String, String>> topVideos = BiliBiliSearchCrawler.getTopVideos(SEARCH_KEYWORD);
+        
+        if (topVideos.isEmpty()) {
+            System.err.println("未获取到任何视频数据，程序终止。");
+            return;
+        }
+
+        List<String> allDanmus = new ArrayList<>();
+        int videoCount = 0;
+
+        // 2. 遍历视频列表，为每个视频获取 CID 并处理弹幕
+        for (Map<String, String> video : topVideos) {
+            videoCount++;
+            String bvid = video.get("bvid");
+            String title = video.get("title");
+            
+            // 【关键步骤】动态获取 CID
+            String cid = BiliBiliCrawler.getCidFromBvid(bvid); 
+
+            System.out.printf("处理中 (%d/%d): %s (BVID: %s)\n", videoCount, topVideos.size(), title, bvid);
+            
+            if (cid == null) {
+                System.out.println("  跳过此视频，无法获取 CID。");
+                continue;
+            }
+
+            // 获取弹幕 XML
+            String xmlContent = BiliBiliCrawler.getDanmuXml(cid);
+            if (xmlContent == null) {
+                System.out.println("  跳过此视频，无法获取弹幕。");
+                continue;
+            }
+            
+            // 解析和清洗弹幕
+            List<String> danmus = DanmuParser.parseAndCleanDanmu(xmlContent);
+            allDanmus.addAll(danmus);
+
+            // 礼貌暂停，减缓对服务器的压力
+            try {
+                Thread.sleep(500);
+            } catch (InterruptedException e) {
+                Thread.currentThread().interrupt();
+            }
+        }
+        
+        System.out.println("\n🎉 所有视频处理完毕！总计弹幕数：" + allDanmus.size());
+        
+        if (allDanmus.isEmpty()) {
+            System.out.println("没有可分析的弹幕，程序终止。");
+            return;
+        }
+
+        System.out.println("开始中文分词和词频统计...");
+        List<Map.Entry<String, Long>> topWords = 
+                WordAnalyzer.analyzeAndGetTopN(allDanmus, TOP_N_WORDS);
+        
+        System.out.println("\n--- 最终结果 (Top " + TOP_N_WORDS + ") ---");
+        topWords.forEach(entry -> 
+            System.out.printf("词语: %-15s | 频次: %d\n", entry.getKey(), entry.getValue())
+        );
+
+        ExcelExporter.exportToXLSX(topWords, OUTPUT_FILENAME);
+        System.out.println("\n--- 项目执行完毕 ---");
+    }
+}
\ No newline at end of file