ADD file via upload

README.md

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+# 102301535
+

analysis_notebook.ipynb

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-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "e34f22b5",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from IPython.display import Image\n",
-    "print(\"生成的图表:\")\n",
-    "\n",
-    "print(\"词云图:\")\n",
-    "display(Image(filename='visualization/wordcloud.png'))\n",
-    "\n",
-    "print(\"应用领域分布:\")\n",
-    "display(Image(filename='visualization/applications_distribution.png'))\n",
-    "\n",
-    "print(\"情感分析:\")\n",
-    "display(Image(filename='visualization/sentiment_analysis.png'))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "7756a032",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "print(\"生成可视化图表...\")\n",
-    "visualizer = Visualizer()\n",
-    "visualizer.create_comprehensive_visualization(processed_df, top_apps, word_freq)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "da2f2518",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "print(\"开始数据处理...\")\n",
-    "processor = DataProcessor()\n",
-    "processed_df, top_apps, word_freq = processor.main()\n",
-    "\n",
-    "# 显示处理结果\n",
-    "print(\"应用领域排名:\")\n",
-    "display(top_apps)\n",
-    "\n",
-    "print(\"\\n词频统计前10:\")\n",
-    "display(word_freq.head(10))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "db65ea20",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "print(\"开始数据爬取...\")\n",
-    "crawler = BilibiliDanmuCrawler()\n",
-    "raw_df = crawler.generate_mock_data()\n",
-    "print(f\"获取到 {len(raw_df)} 条弹幕数据\")\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "29015b15",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import sys\n",
-    "import os\n",
-    "sys.path.append('scripts')\n",
-    "\n",
-    "from crawler import BilibiliDanmuCrawler\n",
-    "from data_processor import DataProcessor\n",
-    "from visualizer import Visualizer\n",
-    "\n",
-    "import pandas as pd\n",
-    "import matplotlib.pyplot as plt"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "venv",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "name": "python",
-   "version": "3.13.9"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}

crawler.log

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-2025-11-14 16:31:10,335 - INFO - 开始生成模拟弹幕数据...
-2025-11-14 16:31:10,349 - INFO - 数据生成完成，共 250 条记录
-2025-11-14 16:31:10,349 - INFO - 
-数据预览:
-2025-11-14 16:31:10,349 - INFO - 列名: ['bvid', 'danmu', 'keyword', 'timestamp']
-2025-11-14 16:31:10,351 - INFO - 前5条数据:
-           bvid              danmu keyword                  timestamp
-0  BV14J2X6UHQ9  大语言模型在商业办公方面真的很实用   大语言模型 2025-11-14 10:25:10.336313
-1  BV1DOTN63OAF   大模型在编程开发的准确性有待提高     LLM 2025-11-14 10:02:10.336553
-2  BV1G9XCAIAAG   大模型在娱乐创作的准确性有待提高   大语言模型 2025-11-14 09:34:10.336611
-3  BV1VQZHWO8VT     大模型在商业办公领域潜力巨大   大语言模型 2025-11-14 03:37:10.336655
-4  BV1CMSGNOET8     商业办公应用的隐私保护很重要   大语言模型 2025-11-14 00:20:10.336697

requirements.txt

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-# requirements.txt
-requests>=2.31.0
-pandas>=2.0.0
-matplotlib>=3.7.0
-wordcloud>=1.9.0
-jieba>=0.42.1
-openpyxl>=3.1.0
-pillow>=10.0.0
-numpy>=1.24.0
-scipy>=1.10.0
-selenium>=4.15.0
-scrapy>=2.11.0
-jupyter>=1.0.0
-ipykernel>=6.25.0