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crawler-toturial/6. 大模型分析.ipynb
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2024-10-24 14:06:37 +08:00

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"Requirement already satisfied: openai in /home/hmsy/.conda/envs/python311/lib/python3.11/site-packages (1.52.2)\n",
"Requirement already satisfied: anyio<5,>=3.5.0 in /home/hmsy/.conda/envs/python311/lib/python3.11/site-packages (from openai) (4.4.0)\n",
"Requirement already satisfied: distro<2,>=1.7.0 in /home/hmsy/.conda/envs/python311/lib/python3.11/site-packages (from openai) (1.9.0)\n",
"Requirement already satisfied: httpx<1,>=0.23.0 in /home/hmsy/.conda/envs/python311/lib/python3.11/site-packages (from openai) (0.27.0)\n",
"Requirement already satisfied: jiter<1,>=0.4.0 in /home/hmsy/.conda/envs/python311/lib/python3.11/site-packages (from openai) (0.6.1)\n",
"Requirement already satisfied: pydantic<3,>=1.9.0 in /home/hmsy/.conda/envs/python311/lib/python3.11/site-packages (from openai) (2.9.2)\n",
"Requirement already satisfied: sniffio in /home/hmsy/.conda/envs/python311/lib/python3.11/site-packages (from openai) (1.3.1)\n",
"Requirement already satisfied: tqdm>4 in /home/hmsy/.conda/envs/python311/lib/python3.11/site-packages (from openai) (4.66.4)\n",
"Requirement already satisfied: typing-extensions<5,>=4.11 in /home/hmsy/.conda/envs/python311/lib/python3.11/site-packages (from openai) (4.12.2)\n",
"Requirement already satisfied: idna>=2.8 in /home/hmsy/.conda/envs/python311/lib/python3.11/site-packages (from anyio<5,>=3.5.0->openai) (3.7)\n",
"Requirement already satisfied: certifi in /home/hmsy/.conda/envs/python311/lib/python3.11/site-packages (from httpx<1,>=0.23.0->openai) (2024.7.4)\n",
"Requirement already satisfied: httpcore==1.* in /home/hmsy/.conda/envs/python311/lib/python3.11/site-packages (from httpx<1,>=0.23.0->openai) (1.0.5)\n",
"Requirement already satisfied: h11<0.15,>=0.13 in /home/hmsy/.conda/envs/python311/lib/python3.11/site-packages (from httpcore==1.*->httpx<1,>=0.23.0->openai) (0.14.0)\n",
"Requirement already satisfied: annotated-types>=0.6.0 in /home/hmsy/.conda/envs/python311/lib/python3.11/site-packages (from pydantic<3,>=1.9.0->openai) (0.7.0)\n",
"Requirement already satisfied: pydantic-core==2.23.4 in /home/hmsy/.conda/envs/python311/lib/python3.11/site-packages (from pydantic<3,>=1.9.0->openai) (2.23.4)\n"
]
}
],
"source": [
"!pip install openai\n"
]
},
{
"cell_type": "code",
"execution_count": 51,
"id": "d94f5b51-7b5e-476e-a375-f084dfd573dd",
"metadata": {},
"outputs": [],
"source": [
"from openai import OpenAI\n",
"client = OpenAI()"
]
},
{
"cell_type": "markdown",
"id": "ce020525-4956-498c-a68c-498c68fab04b",
"metadata": {},
"source": [
"## llm 分析"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "8a3e7594-9959-4fa0-b4b0-77ffb8ef5ab3",
"metadata": {},
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" <th>标题</th>\n",
" <th>时间</th>\n",
" <th>来源</th>\n",
" <th>正文</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>AI创作新风潮：影视业，拥抱AI新机遇</td>\n",
" <td>2023年08月28日 04:03</td>\n",
" <td>人民日报海外版</td>\n",
" <td>前不久，一部以元宇宙为概念的国潮微短剧《神女杂货铺》在某视频平台播出，讲述了一个现代女孩穿越...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>雨中跪地救人的“二次元小姐姐” 是位喜欢动漫的苏州医生</td>\n",
" <td>2023年07月26日 02:23</td>\n",
" <td>扬子晚报</td>\n",
" <td>7月21日，在上海某漫展场馆外，一名年轻男子突然在雨中晕厥倒地，这一幕，恰好被一位穿cosp...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>首批AI克隆明星上线，不只是娱乐业“躺赚”</td>\n",
" <td>2023年06月05日 01:40</td>\n",
" <td>新京报</td>\n",
" <td>现实中偶像与粉丝互动被AI复制到虚拟空间中，虚实边界被进一步打破。\\n花30元就可以和网红明...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>“10后”的流行密语你能对上几个？</td>\n",
" <td>2023年06月01日 09:51</td>\n",
" <td>羊城晚报</td>\n",
" <td>羊城晚报记者 秦小杰\\n作为互联网新生代，“10后”的小学生有哪些流行“密语”？喜欢什么样的...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>（经济观察）虚拟数字人“现身”各行各业 释放可观商业价值</td>\n",
" <td>2023年05月20日 09:37</td>\n",
" <td>中国新闻网</td>\n",
" <td>中新社上海5月20日电 (谢梦圆)近期，多个品牌启用虚拟形象作为代言人、社交平台AI博主大受...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>网络热梗也能成为热门IP IP如何吸引Z世代？</td>\n",
" <td>2022年12月15日 01:00</td>\n",
" <td>北京青年报</td>\n",
" <td>随着网络文化的发展，新时代IP内容也随之扩展创新，不仅涵盖动漫、影视、游戏、潮玩，甚至一个符...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>玩具市场迎来多元需求 成年人“入坑”潮流玩具</td>\n",
" <td>2022年10月26日 15:31</td>\n",
" <td>北京青年报</td>\n",
" <td>一年一度的双11来临，潮流玩具市场再度成为各大电商平台必争之地，玩具市场迎来更多元的市场需求...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>越来越多场景应用 “数字人”走进大众生活</td>\n",
" <td>2022年09月07日 19:55</td>\n",
" <td>中国新闻网</td>\n",
" <td>中新网北京9月7日电 (中新财经 吴家驹)从“初音未来”到“洛天依”再到“嘉然”，近年来，“...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>爱的是“皮”还是“魂”？虚拟偶像凭什么“圈粉”</td>\n",
" <td>2022年09月07日 19:55</td>\n",
" <td>中国新闻网</td>\n",
" <td>虚拟偶像深受当下年轻人的欢迎。艾媒咨询调研显示，中国虚拟人爱好者中，19岁至30岁之间的年轻...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>唱歌跳舞的“皮套人”？这个千亿级生意没那么简单</td>\n",
" <td>2022年09月07日 19:55</td>\n",
" <td>中国新闻网</td>\n",
" <td>近日，一条微博热搜将人们的视线拉回到了虚拟偶像的身上，一名来自美国的虚拟主播在短短两小时内吸...</td>\n",
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"text/plain": [
" 标题 时间 来源 \\\n",
"0 AI创作新风潮：影视业，拥抱AI新机遇 2023年08月28日 04:03 人民日报海外版 \n",
"1 雨中跪地救人的“二次元小姐姐” 是位喜欢动漫的苏州医生 2023年07月26日 02:23 扬子晚报 \n",
"2 首批AI克隆明星上线，不只是娱乐业“躺赚” 2023年06月05日 01:40 新京报 \n",
"3 “10后”的流行密语你能对上几个？ 2023年06月01日 09:51 羊城晚报 \n",
"4 （经济观察）虚拟数字人“现身”各行各业 释放可观商业价值 2023年05月20日 09:37 中国新闻网 \n",
"5 网络热梗也能成为热门IP IP如何吸引Z世代？ 2022年12月15日 01:00 北京青年报 \n",
"6 玩具市场迎来多元需求 成年人“入坑”潮流玩具 2022年10月26日 15:31 北京青年报 \n",
"7 越来越多场景应用 “数字人”走进大众生活 2022年09月07日 19:55 中国新闻网 \n",
"8 爱的是“皮”还是“魂”？虚拟偶像凭什么“圈粉” 2022年09月07日 19:55 中国新闻网 \n",
"9 唱歌跳舞的“皮套人”？这个千亿级生意没那么简单 2022年09月07日 19:55 中国新闻网 \n",
"\n",
" 正文 \n",
"0 前不久，一部以元宇宙为概念的国潮微短剧《神女杂货铺》在某视频平台播出，讲述了一个现代女孩穿越... \n",
"1 7月21日，在上海某漫展场馆外，一名年轻男子突然在雨中晕厥倒地，这一幕，恰好被一位穿cosp... \n",
"2 现实中偶像与粉丝互动被AI复制到虚拟空间中，虚实边界被进一步打破。\\n花30元就可以和网红明... \n",
"3 羊城晚报记者 秦小杰\\n作为互联网新生代，“10后”的小学生有哪些流行“密语”？喜欢什么样的... \n",
"4 中新社上海5月20日电 (谢梦圆)近期，多个品牌启用虚拟形象作为代言人、社交平台AI博主大受... \n",
"5 随着网络文化的发展，新时代IP内容也随之扩展创新，不仅涵盖动漫、影视、游戏、潮玩，甚至一个符... \n",
"6 一年一度的双11来临，潮流玩具市场再度成为各大电商平台必争之地，玩具市场迎来更多元的市场需求... \n",
"7 中新网北京9月7日电 (中新财经 吴家驹)从“初音未来”到“洛天依”再到“嘉然”，近年来，“... \n",
"8 虚拟偶像深受当下年轻人的欢迎。艾媒咨询调研显示，中国虚拟人爱好者中，19岁至30岁之间的年轻... \n",
"9 近日，一条微博热搜将人们的视线拉回到了虚拟偶像的身上，一名来自美国的虚拟主播在短短两小时内吸... "
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 读入数据\n",
"import pandas\n",
"df = pandas.read_csv('news.csv', index_col=0)\n",
"df"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "0cd5cc64-10a8-48aa-911d-684afac56a74",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"否 AI创作新风潮：影视业，拥抱AI新机遇\n",
"是 雨中跪地救人的“二次元小姐姐” 是位喜欢动漫的苏州医生\n",
"是 首批AI克隆明星上线，不只是娱乐业“躺赚”\n",
"是 “10后”的流行密语你能对上几个？\n",
"否 （经济观察）虚拟数字人“现身”各行各业 释放可观商业价值\n",
"否 网络热梗也能成为热门IP IP如何吸引Z世代？\n",
"否 玩具市场迎来多元需求 成年人“入坑”潮流玩具\n",
"否 越来越多场景应用 “数字人”走进大众生活\n",
"是 爱的是“皮”还是“魂”？虚拟偶像凭什么“圈粉”\n",
"是 唱歌跳舞的“皮套人”？这个千亿级生意没那么简单\n"
]
}
],
"source": [
"for index, row in df.iterrows():\n",
" completion = client.chat.completions.create(\n",
" model=\"gpt-4o-mini\",\n",
" temperature=0,\n",
" messages=[\n",
" {\"role\": \"system\", \"content\": \"你是一个新闻标题判定器，你要分析我提供新闻标题是否属于'标题党'。你只能回答是或否\"},\n",
" {\n",
" \"role\": \"user\",\n",
" \"content\": f\"标题：{row.标题}\"\n",
" }\n",
" ]\n",
" )\n",
" \n",
" print(completion.choices[0].message.content, row.标题)"
]
},
{
"cell_type": "markdown",
"id": "1b141ff4-cdfe-47f2-a267-a6ab04bfcd4f",
"metadata": {},
"source": [
"## 情感分析"
]
},
{
"cell_type": "code",
"execution_count": 55,
"id": "f95c82f0-df80-42b0-8253-db12aae4756d",
"metadata": {},
"outputs": [],
"source": [
"response = client.embeddings.create(\n",
" input=['情感标签：积极', '情感标签：消极'],\n",
" model=\"text-embedding-3-small\"\n",
")\n",
"positive = response.data[0].embedding\n",
"negative = response.data[1].embedding"
]
},
{
"cell_type": "code",
"execution_count": 56,
"id": "5bcdb775-7f5e-4d05-bb97-6cbc5d182415",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"余弦相似度: 0.7307260589905838\n"
]
}
],
"source": [
"import numpy as np\n",
"\n",
"def cosine_similarity(vec1, vec2):\n",
" \"\"\"\n",
" 计算两个向量之间的余弦相似度。\n",
"\n",
" 参数:\n",
" vec1 -- 第一个向量，列表或numpy数组\n",
" vec2 -- 第二个向量，列表或numpy数组\n",
"\n",
" 返回:\n",
" 余弦相似度，介于-1和1之间\n",
" \"\"\"\n",
" # 将输入转换为numpy数组\n",
" vec1 = np.array(vec1)\n",
" vec2 = np.array(vec2)\n",
" \n",
" # 计算向量的点积\n",
" dot_product = np.dot(vec1, vec2)\n",
" \n",
" # 计算向量的范数（模）\n",
" norm_vec1 = np.linalg.norm(vec1)\n",
" norm_vec2 = np.linalg.norm(vec2)\n",
" \n",
" # 计算余弦相似度\n",
" if norm_vec1 == 0 or norm_vec2 == 0:\n",
" return 0.0 # 如果其中一个向量是零向量，则相似度为0\n",
" else:\n",
" return dot_product / (norm_vec1 * norm_vec2)\n",
"\n",
"# 示例用法\n",
"similarity = cosine_similarity(positive, negative)\n",
"print(f\"余弦相似度: {similarity}\")"
]
},
{
"cell_type": "code",
"execution_count": 58,
"id": "f56e8468-5bff-4b38-b480-acb619edc602",
"metadata": {},
"outputs": [
{
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" <th>正文</th>\n",
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" <tr>\n",
" <th>0</th>\n",
" <td>AI创作新风潮：影视业，拥抱AI新机遇</td>\n",
" <td>2023年08月28日 04:03</td>\n",
" <td>人民日报海外版</td>\n",
" <td>前不久，一部以元宇宙为概念的国潮微短剧《神女杂货铺》在某视频平台播出，讲述了一个现代女孩穿越...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>雨中跪地救人的“二次元小姐姐” 是位喜欢动漫的苏州医生</td>\n",
" <td>2023年07月26日 02:23</td>\n",
" <td>扬子晚报</td>\n",
" <td>7月21日，在上海某漫展场馆外，一名年轻男子突然在雨中晕厥倒地，这一幕，恰好被一位穿cosp...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>首批AI克隆明星上线，不只是娱乐业“躺赚”</td>\n",
" <td>2023年06月05日 01:40</td>\n",
" <td>新京报</td>\n",
" <td>现实中偶像与粉丝互动被AI复制到虚拟空间中，虚实边界被进一步打破。\\n花30元就可以和网红明...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>“10后”的流行密语你能对上几个？</td>\n",
" <td>2023年06月01日 09:51</td>\n",
" <td>羊城晚报</td>\n",
" <td>羊城晚报记者 秦小杰\\n作为互联网新生代，“10后”的小学生有哪些流行“密语”？喜欢什么样的...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>（经济观察）虚拟数字人“现身”各行各业 释放可观商业价值</td>\n",
" <td>2023年05月20日 09:37</td>\n",
" <td>中国新闻网</td>\n",
" <td>中新社上海5月20日电 (谢梦圆)近期，多个品牌启用虚拟形象作为代言人、社交平台AI博主大受...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>网络热梗也能成为热门IP IP如何吸引Z世代？</td>\n",
" <td>2022年12月15日 01:00</td>\n",
" <td>北京青年报</td>\n",
" <td>随着网络文化的发展，新时代IP内容也随之扩展创新，不仅涵盖动漫、影视、游戏、潮玩，甚至一个符...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>玩具市场迎来多元需求 成年人“入坑”潮流玩具</td>\n",
" <td>2022年10月26日 15:31</td>\n",
" <td>北京青年报</td>\n",
" <td>一年一度的双11来临，潮流玩具市场再度成为各大电商平台必争之地，玩具市场迎来更多元的市场需求...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>越来越多场景应用 “数字人”走进大众生活</td>\n",
" <td>2022年09月07日 19:55</td>\n",
" <td>中国新闻网</td>\n",
" <td>中新网北京9月7日电 (中新财经 吴家驹)从“初音未来”到“洛天依”再到“嘉然”，近年来，“...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>爱的是“皮”还是“魂”？虚拟偶像凭什么“圈粉”</td>\n",
" <td>2022年09月07日 19:55</td>\n",
" <td>中国新闻网</td>\n",
" <td>虚拟偶像深受当下年轻人的欢迎。艾媒咨询调研显示，中国虚拟人爱好者中，19岁至30岁之间的年轻...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>唱歌跳舞的“皮套人”？这个千亿级生意没那么简单</td>\n",
" <td>2022年09月07日 19:55</td>\n",
" <td>中国新闻网</td>\n",
" <td>近日，一条微博热搜将人们的视线拉回到了虚拟偶像的身上，一名来自美国的虚拟主播在短短两小时内吸...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" 标题 时间 来源 \\\n",
"0 AI创作新风潮：影视业，拥抱AI新机遇 2023年08月28日 04:03 人民日报海外版 \n",
"1 雨中跪地救人的“二次元小姐姐” 是位喜欢动漫的苏州医生 2023年07月26日 02:23 扬子晚报 \n",
"2 首批AI克隆明星上线，不只是娱乐业“躺赚” 2023年06月05日 01:40 新京报 \n",
"3 “10后”的流行密语你能对上几个？ 2023年06月01日 09:51 羊城晚报 \n",
"4 （经济观察）虚拟数字人“现身”各行各业 释放可观商业价值 2023年05月20日 09:37 中国新闻网 \n",
"5 网络热梗也能成为热门IP IP如何吸引Z世代？ 2022年12月15日 01:00 北京青年报 \n",
"6 玩具市场迎来多元需求 成年人“入坑”潮流玩具 2022年10月26日 15:31 北京青年报 \n",
"7 越来越多场景应用 “数字人”走进大众生活 2022年09月07日 19:55 中国新闻网 \n",
"8 爱的是“皮”还是“魂”？虚拟偶像凭什么“圈粉” 2022年09月07日 19:55 中国新闻网 \n",
"9 唱歌跳舞的“皮套人”？这个千亿级生意没那么简单 2022年09月07日 19:55 中国新闻网 \n",
"\n",
" 正文 \n",
"0 前不久，一部以元宇宙为概念的国潮微短剧《神女杂货铺》在某视频平台播出，讲述了一个现代女孩穿越... \n",
"1 7月21日，在上海某漫展场馆外，一名年轻男子突然在雨中晕厥倒地，这一幕，恰好被一位穿cosp... \n",
"2 现实中偶像与粉丝互动被AI复制到虚拟空间中，虚实边界被进一步打破。\\n花30元就可以和网红明... \n",
"3 羊城晚报记者 秦小杰\\n作为互联网新生代，“10后”的小学生有哪些流行“密语”？喜欢什么样的... \n",
"4 中新社上海5月20日电 (谢梦圆)近期，多个品牌启用虚拟形象作为代言人、社交平台AI博主大受... \n",
"5 随着网络文化的发展，新时代IP内容也随之扩展创新，不仅涵盖动漫、影视、游戏、潮玩，甚至一个符... \n",
"6 一年一度的双11来临，潮流玩具市场再度成为各大电商平台必争之地，玩具市场迎来更多元的市场需求... \n",
"7 中新网北京9月7日电 (中新财经 吴家驹)从“初音未来”到“洛天依”再到“嘉然”，近年来，“... \n",
"8 虚拟偶像深受当下年轻人的欢迎。艾媒咨询调研显示，中国虚拟人爱好者中，19岁至30岁之间的年轻... \n",
"9 近日，一条微博热搜将人们的视线拉回到了虚拟偶像的身上，一名来自美国的虚拟主播在短短两小时内吸... "
]
},
"execution_count": 58,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 载入数据\n",
"import pandas\n",
"df = pandas.read_csv('news.csv', index_col = 0)\n",
"df"
]
},
{
"cell_type": "code",
"execution_count": 72,
"id": "622dbddf-618a-44b2-a1eb-22a06ac71eb4",
"metadata": {},
"outputs": [],
"source": [
"response = client.embeddings.create(\n",
" input=df.标题 ,\n",
" model=\"text-embedding-3-small\"\n",
")\n",
"embeddings = [i.embedding for i in response.data]\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "866ae4a7-a396-4f34-8b8b-dd974b6ed668",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 73,
"id": "08e569b3-6f90-4189-b4f4-574f8f7863d9",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"positive AI创作新风潮：影视业，拥抱AI新机遇\n",
"positive 雨中跪地救人的“二次元小姐姐” 是位喜欢动漫的苏州医生\n",
"positive 首批AI克隆明星上线，不只是娱乐业“躺赚”\n",
"negative “10后”的流行密语你能对上几个？\n",
"positive （经济观察）虚拟数字人“现身”各行各业 释放可观商业价值\n",
"positive 网络热梗也能成为热门IP IP如何吸引Z世代？\n",
"positive 玩具市场迎来多元需求 成年人“入坑”潮流玩具\n",
"positive 越来越多场景应用 “数字人”走进大众生活\n",
"positive 爱的是“皮”还是“魂”？虚拟偶像凭什么“圈粉”\n",
"positive 唱歌跳舞的“皮套人”？这个千亿级生意没那么简单\n"
]
},
{
"data": {
"text/plain": [
"['positive',\n",
" 'positive',\n",
" 'positive',\n",
" 'negative',\n",
" 'positive',\n",
" 'positive',\n",
" 'positive',\n",
" 'positive',\n",
" 'positive',\n",
" 'positive']"
]
},
"execution_count": 73,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sentiment = []\n",
"for title, emb in zip(df.标题, embeddings):\n",
" if cosine_similarity(emb, positive) > cosine_similarity(emb, negative):\n",
" result = 'positive'\n",
" else:\n",
" result = 'negative'\n",
" print(result, title)\n",
" sentiment.append(result)\n",
"sentiment"
]
},
{
"cell_type": "markdown",
"id": "6d4ef2b4-f028-4908-bdde-dda719d91c19",
"metadata": {},
"source": [
"## 聚类"
]
},
{
"cell_type": "code",
"execution_count": 39,
"id": "e64290fe-3550-4255-87a6-e7f7dc2f16da",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>时间</th>\n",
" <th>标题</th>\n",
" <th>URL</th>\n",
" <th>摘要</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2024-09-28 23:34:43</td>\n",
" <td>MMD初音未来，UNDEAD</td>\n",
" <td>https://www.sohu.com/a/812565548_120122317</td>\n",
" <td>MMD初音未来，UNDEAD</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2024-09-06 15:57:15</td>\n",
" <td>初音未来17周年</td>\n",
" <td>https://www.sohu.com/a/806861635_532686</td>\n",
" <td>角色名：初音未来CN：安凉公主殿下生日快乐wwෆ(˶''ᵕ''˶)ෆ图片授权来源：次元岛…</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2024-10-23 21:41:45</td>\n",
" <td>MMD初音未来五人组，Unveiled</td>\n",
" <td>https://www.sohu.com/a/819573079_120122317</td>\n",
" <td>MMD初音未来五人组，Unveiled</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>2024-09-25 20:18:35</td>\n",
" <td>MMD初音未来，单色骑士</td>\n",
" <td>https://www.sohu.com/a/811660644_120122317</td>\n",
" <td>MMD初音未来，单色骑士</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2024-08-10 14:30:53</td>\n",
" <td>MMD初音未来，SHOW</td>\n",
" <td>https://www.sohu.com/a/799888119_120122317</td>\n",
" <td>MMD初音未来，SHOW</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>70</th>\n",
" <td>2024-09-01 10:29:15</td>\n",
" <td>初音未来大折扣！PSN港服《ProjectDIVAFTDX》5折优惠，音游迷怎能错过？</td>\n",
" <td>https://www.sohu.com/a/805408718_362225</td>\n",
" <td>《初音未来ProjectDIVAFutureToneDX》不仅是一款音乐游戏，更是一次全面的...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>71</th>\n",
" <td>2024-10-08 19:10:47</td>\n",
" <td>无视一切的恋爱，宅男当年曾娶初音未来领结婚证，如今怎么样了？</td>\n",
" <td>https://www.sohu.com/a/814623848_121166535</td>\n",
" <td>在日本，一男子却做出更加惊人之举，因为他的爱情已经跨越了种族、肤色甚至是虚实，和一位虚拟人物...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>72</th>\n",
" <td>2024-07-30 15:19:15</td>\n",
" <td>《世界计划：破碎的世界与不能唱歌的未来》官宣制作初音未来主演</td>\n",
" <td>https://www.sohu.com/a/797235003_211762</td>\n",
" <td>初音未来主演的剧场版动画《世界计划：破碎的世界与不能唱歌的未来》现已正式开始制作，并且预告和...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>73</th>\n",
" <td>2024-09-22 19:56:47</td>\n",
" <td>还记得和初音未来结婚的男子吗？一年过去了，他们的现状怎么样了？</td>\n",
" <td>https://www.sohu.com/a/810770579_121166539</td>\n",
" <td>现在社会，科技已经深入到生活每一个细节，大到国家重量级项目，小到家中一个小小的扫地机器人，不...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>74</th>\n",
" <td>2024-09-02 08:39:04</td>\n",
" <td>神っぽいな(像神一样呐)|初音ミク(初音未来)|揉揉酱自制小提琴谱|五线谱|乐谱</td>\n",
" <td>https://www.sohu.com/a/805585736_120879343</td>\n",
" <td>这首歌曲是二次元音乐人匹诺曹P的《神芽na(像神一样呐)》，歌词讽刺现代社会中对“神性”的盲...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>75 rows × 4 columns</p>\n",
"</div>"
],
"text/plain": [
" 时间 标题 \\\n",
"0 2024-09-28 23:34:43 MMD初音未来，UNDEAD \n",
"1 2024-09-06 15:57:15 初音未来17周年 \n",
"2 2024-10-23 21:41:45 MMD初音未来五人组，Unveiled \n",
"3 2024-09-25 20:18:35 MMD初音未来，单色骑士 \n",
"4 2024-08-10 14:30:53 MMD初音未来，SHOW \n",
".. ... ... \n",
"70 2024-09-01 10:29:15 初音未来大折扣！PSN港服《ProjectDIVAFTDX》5折优惠，音游迷怎能错过？ \n",
"71 2024-10-08 19:10:47 无视一切的恋爱，宅男当年曾娶初音未来领结婚证，如今怎么样了？ \n",
"72 2024-07-30 15:19:15 《世界计划：破碎的世界与不能唱歌的未来》官宣制作初音未来主演 \n",
"73 2024-09-22 19:56:47 还记得和初音未来结婚的男子吗？一年过去了，他们的现状怎么样了？ \n",
"74 2024-09-02 08:39:04 神っぽいな(像神一样呐)|初音ミク(初音未来)|揉揉酱自制小提琴谱|五线谱|乐谱 \n",
"\n",
" URL \\\n",
"0 https://www.sohu.com/a/812565548_120122317 \n",
"1 https://www.sohu.com/a/806861635_532686 \n",
"2 https://www.sohu.com/a/819573079_120122317 \n",
"3 https://www.sohu.com/a/811660644_120122317 \n",
"4 https://www.sohu.com/a/799888119_120122317 \n",
".. ... \n",
"70 https://www.sohu.com/a/805408718_362225 \n",
"71 https://www.sohu.com/a/814623848_121166535 \n",
"72 https://www.sohu.com/a/797235003_211762 \n",
"73 https://www.sohu.com/a/810770579_121166539 \n",
"74 https://www.sohu.com/a/805585736_120879343 \n",
"\n",
" 摘要 \n",
"0 MMD初音未来，UNDEAD \n",
"1 角色名：初音未来CN：安凉公主殿下生日快乐wwෆ(˶''ᵕ''˶)ෆ图片授权来源：次元岛… \n",
"2 MMD初音未来五人组，Unveiled \n",
"3 MMD初音未来，单色骑士 \n",
"4 MMD初音未来，SHOW \n",
".. ... \n",
"70 《初音未来ProjectDIVAFutureToneDX》不仅是一款音乐游戏，更是一次全面的... \n",
"71 在日本，一男子却做出更加惊人之举，因为他的爱情已经跨越了种族、肤色甚至是虚实，和一位虚拟人物... \n",
"72 初音未来主演的剧场版动画《世界计划：破碎的世界与不能唱歌的未来》现已正式开始制作，并且预告和... \n",
"73 现在社会，科技已经深入到生活每一个细节，大到国家重量级项目，小到家中一个小小的扫地机器人，不... \n",
"74 这首歌曲是二次元音乐人匹诺曹P的《神芽na(像神一样呐)》，歌词讽刺现代社会中对“神性”的盲... \n",
"\n",
"[75 rows x 4 columns]"
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 读入数据\n",
"df = pandas.read_csv('souhu.csv', index_col=0)\n",
"df"
]
},
{
"cell_type": "code",
"execution_count": 40,
"id": "7e71a802-4e89-47d8-ad95-902d40aa50a4",
"metadata": {},
"outputs": [],
"source": [
"response = client.embeddings.create(\n",
" input=df.标题,\n",
" model=\"text-embedding-3-small\"\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 33,
"id": "ea38f9a0-3942-4576-982e-ccf4b3898222",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: scikit-learn in /home/hmsy/.conda/envs/python311/lib/python3.11/site-packages (1.5.2)\n",
"Requirement already satisfied: numpy>=1.19.5 in /home/hmsy/.conda/envs/python311/lib/python3.11/site-packages (from scikit-learn) (1.26.4)\n",
"Requirement already satisfied: scipy>=1.6.0 in /home/hmsy/.conda/envs/python311/lib/python3.11/site-packages (from scikit-learn) (1.14.1)\n",
"Requirement already satisfied: joblib>=1.2.0 in /home/hmsy/.conda/envs/python311/lib/python3.11/site-packages (from scikit-learn) (1.4.2)\n",
"Requirement already satisfied: threadpoolctl>=3.1.0 in /home/hmsy/.conda/envs/python311/lib/python3.11/site-packages (from scikit-learn) (3.5.0)\n"
]
}
],
"source": [
"!pip install scikit-learn"
]
},
{
"cell_type": "code",
"execution_count": 43,
"id": "088f830c-d741-46b8-8add-f908347e6b0f",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"聚类标签： [2 3 1 2 2 2 2 2 2 2 2 1 2 2 5 2 3 2 6 2 2 2 7 4 2 3 4 4 0 3 9 3 7 3 9 3 4\n",
" 4 6 6 6 4 3 7 5 5 4 9 9 3 8 9 9 4 6 4 0 6 5 9 4 5 5 3 9 8 4 9 4 0 7 5 9 3\n",
" 4]\n"
]
}
],
"source": [
"embeddings = [i.embedding for i in response.data]\n",
"import numpy as np\n",
"from sklearn.cluster import KMeans\n",
"\n",
"# 假设你有一个嵌入的列表或数组\n",
"# 这里我们用随机数据来模拟嵌入\n",
"# 每个嵌入是一个长度为128的向量\n",
"np.random.seed(42) # 为了结果可重复\n",
"\n",
"# 定义聚类的数量\n",
"num_clusters =10\n",
"\n",
"# 创建KMeans模型\n",
"kmeans = KMeans(n_clusters=num_clusters, random_state=42)\n",
"\n",
"# 训练模型\n",
"kmeans.fit(embeddings)\n",
"\n",
"# 获取每个嵌入的聚类标签\n",
"labels = kmeans.labels_\n",
"\n",
"# 输出结果\n",
"print(\"聚类标签：\", labels)"
]
},
{
"cell_type": "code",
"execution_count": 49,
"id": "c8bc0b81-1eb3-4f9a-b0af-c65434d2a6f8",
"metadata": {},
"outputs": [
{
"data": {
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>时间</th>\n",
" <th>标题</th>\n",
" <th>URL</th>\n",
" <th>摘要</th>\n",
" <th>kmeans</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2024-09-28 23:34:43</td>\n",
" <td>MMD初音未来，UNDEAD</td>\n",
" <td>https://www.sohu.com/a/812565548_120122317</td>\n",
" <td>MMD初音未来，UNDEAD</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>2024-09-25 20:18:35</td>\n",
" <td>MMD初音未来，单色骑士</td>\n",
" <td>https://www.sohu.com/a/811660644_120122317</td>\n",
" <td>MMD初音未来，单色骑士</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2024-08-10 14:30:53</td>\n",
" <td>MMD初音未来，SHOW</td>\n",
" <td>https://www.sohu.com/a/799888119_120122317</td>\n",
" <td>MMD初音未来，SHOW</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>2024-08-11 22:54:33</td>\n",
" <td>MMD初音未来，卡哇伊</td>\n",
" <td>https://www.sohu.com/a/800129858_120122317</td>\n",
" <td>MMD初音未来，卡哇伊</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>2024-10-13 23:22:15</td>\n",
" <td>MMD初音未来，MelticHell</td>\n",
" <td>https://www.sohu.com/a/816244183_120122317</td>\n",
" <td>MMD初音未来，MelticHell</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>2024-09-01 15:28:21</td>\n",
" <td>MMD初音未来，情感风车</td>\n",
" <td>https://www.sohu.com/a/805468248_120122317</td>\n",
" <td>MMD初音未来，情感风车</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>2024-08-18 23:20:16</td>\n",
" <td>MMD初音未来，RPG</td>\n",
" <td>https://www.sohu.com/a/801797229_120122317</td>\n",
" <td>MMD初音未来，RPG</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>2024-09-14 21:55:59</td>\n",
" <td>MMD初音未来，Go-Getters</td>\n",
" <td>https://www.sohu.com/a/809054528_120122317</td>\n",
" <td>MMD初音未来，Go-Getters</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>2024-10-18 23:58:48</td>\n",
" <td>MMD初音未来，叭噗</td>\n",
" <td>https://www.sohu.com/a/817974411_120122317</td>\n",
" <td>MMD初音未来，叭噗</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>2024-08-13 22:59:23</td>\n",
" <td>MMD初音未来，倾诉迷魂</td>\n",
" <td>https://www.sohu.com/a/800642732_120122317</td>\n",
" <td>MMD初音未来，倾诉迷魂</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>2024-09-20 21:21:34</td>\n",
" <td>MMD初音未来，拜拜呀呆</td>\n",
" <td>https://www.sohu.com/a/810397011_120122317</td>\n",
" <td>MMD初音未来，拜拜呀呆</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>2024-07-28 22:04:25</td>\n",
" <td>MMD初音未来，恋爱哲学</td>\n",
" <td>https://www.sohu.com/a/796798684_120122317</td>\n",
" <td>MMD初音未来，恋爱哲学</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>2024-07-31 21:43:59</td>\n",
" <td>MMD25时，初音未来，心灵烙印</td>\n",
" <td>https://www.sohu.com/a/797613538_120122317</td>\n",
" <td>MMD25时，初音未来，心灵烙印</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>2024-08-24 23:33:03</td>\n",
" <td>MMD初音未来，猫尾草之歌</td>\n",
" <td>https://www.sohu.com/a/803409803_120122317</td>\n",
" <td>MMD初音未来，猫尾草之歌</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>2024-10-12 16:23:07</td>\n",
" <td>MMD初音未来，在黎明前一跃而起</td>\n",
" <td>https://www.sohu.com/a/815933102_120122317</td>\n",
" <td>MMD初音未来，在黎明前一跃而起</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>2024-09-08 12:28:58</td>\n",
" <td>MMD初音未来，甜甜圈洞short</td>\n",
" <td>https://www.sohu.com/a/807255356_120122317</td>\n",
" <td>MMD初音未来，甜甜圈洞short</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>2024-08-28 22:55:49</td>\n",
" <td>MMD初音未来，晓山瑞希，宵崎奏，孜然炉火</td>\n",
" <td>https://www.sohu.com/a/804480099_120122317</td>\n",
" <td>MMD初音未来，晓山瑞希，宵崎奏，孜然炉火</td>\n",
" <td>2</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" 时间 标题 \\\n",
"0 2024-09-28 23:34:43 MMD初音未来，UNDEAD \n",
"3 2024-09-25 20:18:35 MMD初音未来，单色骑士 \n",
"4 2024-08-10 14:30:53 MMD初音未来，SHOW \n",
"5 2024-08-11 22:54:33 MMD初音未来，卡哇伊 \n",
"6 2024-10-13 23:22:15 MMD初音未来，MelticHell \n",
"7 2024-09-01 15:28:21 MMD初音未来，情感风车 \n",
"8 2024-08-18 23:20:16 MMD初音未来，RPG \n",
"9 2024-09-14 21:55:59 MMD初音未来，Go-Getters \n",
"10 2024-10-18 23:58:48 MMD初音未来，叭噗 \n",
"12 2024-08-13 22:59:23 MMD初音未来，倾诉迷魂 \n",
"13 2024-09-20 21:21:34 MMD初音未来，拜拜呀呆 \n",
"15 2024-07-28 22:04:25 MMD初音未来，恋爱哲学 \n",
"17 2024-07-31 21:43:59 MMD25时，初音未来，心灵烙印 \n",
"19 2024-08-24 23:33:03 MMD初音未来，猫尾草之歌 \n",
"20 2024-10-12 16:23:07 MMD初音未来，在黎明前一跃而起 \n",
"21 2024-09-08 12:28:58 MMD初音未来，甜甜圈洞short \n",
"24 2024-08-28 22:55:49 MMD初音未来，晓山瑞希，宵崎奏，孜然炉火 \n",
"\n",
" URL 摘要 kmeans \n",
"0 https://www.sohu.com/a/812565548_120122317 MMD初音未来，UNDEAD 2 \n",
"3 https://www.sohu.com/a/811660644_120122317 MMD初音未来，单色骑士 2 \n",
"4 https://www.sohu.com/a/799888119_120122317 MMD初音未来，SHOW 2 \n",
"5 https://www.sohu.com/a/800129858_120122317 MMD初音未来，卡哇伊 2 \n",
"6 https://www.sohu.com/a/816244183_120122317 MMD初音未来，MelticHell 2 \n",
"7 https://www.sohu.com/a/805468248_120122317 MMD初音未来，情感风车 2 \n",
"8 https://www.sohu.com/a/801797229_120122317 MMD初音未来，RPG 2 \n",
"9 https://www.sohu.com/a/809054528_120122317 MMD初音未来，Go-Getters 2 \n",
"10 https://www.sohu.com/a/817974411_120122317 MMD初音未来，叭噗 2 \n",
"12 https://www.sohu.com/a/800642732_120122317 MMD初音未来，倾诉迷魂 2 \n",
"13 https://www.sohu.com/a/810397011_120122317 MMD初音未来，拜拜呀呆 2 \n",
"15 https://www.sohu.com/a/796798684_120122317 MMD初音未来，恋爱哲学 2 \n",
"17 https://www.sohu.com/a/797613538_120122317 MMD25时，初音未来，心灵烙印 2 \n",
"19 https://www.sohu.com/a/803409803_120122317 MMD初音未来，猫尾草之歌 2 \n",
"20 https://www.sohu.com/a/815933102_120122317 MMD初音未来，在黎明前一跃而起 2 \n",
"21 https://www.sohu.com/a/807255356_120122317 MMD初音未来，甜甜圈洞short 2 \n",
"24 https://www.sohu.com/a/804480099_120122317 MMD初音未来，晓山瑞希，宵崎奏，孜然炉火 2 "
]
},
"execution_count": 49,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 把分类结果加入df\n",
"df['kmeans'] = labels\n",
"df[df.kmeans == 2]"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.9"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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