-
Notifications
You must be signed in to change notification settings - Fork 2
Expand file tree
/
Copy pathindex.html
More file actions
330 lines (298 loc) · 18.3 KB
/
index.html
File metadata and controls
330 lines (298 loc) · 18.3 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
<!DOCTYPE html>
<html lang="en" dir="auto">
<head><meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
<meta name="robots" content="index, follow">
<title>大邓和他的Python</title>
<meta name="keywords" content="经济管理, 经管, 文本分析, python, chinese, 中文, text mining, NLP, 自然语言处理, marketing, journal of consumer research, 管理世界, 金融研究, 管理科学, 文本分析, text analysis, text mining, word2vec, natural language process, 经济管理, 文本挖掘, 社会科学, cutural change, social science, large language model, 大语言模型, LLama, ollama, alternative data, 另类数据, 非结构化数据, 结构化数据, unstructual data, structual data, cntext" />
<meta name="description" content="专注社会科学(经济管理)科研领域的Python文本图片数据分析，涵盖数据分析主要环节，如Python网络爬虫、Pandas数据探索性分析、中英文文本数据清洗、机器学习与自然语言处理、大语言模型LLM、文本分析。开发有专门的Python经济管理文本数据挖掘视频课程，通过学习本课程可将非结构文本数据(另类数据)转化为结构化的数据。可应对会计、营销、管理信息系统、公司金融、社会学、传播学、新闻学等方向的科研数据需要。Focused on Python text and image data analysis within the field of social science (economic management) research, this course covers major aspects of data analysis such as Python web scraping, exploratory data analysis with Pandas, cleaning of Chinese and English textual data, machine learning, and natural language processing along with large language models (LLM)、text analysis. A specialized video course on Python for economic management text data mining has been developed. Through this course, learners can transform unstructured text data (alternative data) into structured data. It caters to research data needs in areas like accounting, marketing, management information systems, corporate finance, sociology, communication studies, journalism, and more.">
<meta name="author" content="大邓">
<link rel="canonical" href="/" />
<meta name="baidu-site-verification" content="codeva-TJUe6nOmGr" />
<meta name="sogou-site-verification" content="dZHPIorOhK" />
<meta name="sogou-site-verification" content="dZHPIorOhK" />
<meta name="google-site-verification" content="0cmjnyICPwXY_UmLHzs6RRUBIFxxqieMsgTGT_kVctk" />
<meta name="yandex-verification" content="5e672f12d3e2cacd" />
<link crossorigin="anonymous" href="/assets/css/stylesheet.min.css" rel="preload stylesheet" as="style">
<link rel="preload" href="images/blog/dadeng.jpg" as="image">
<link rel="icon" href="/favicon.ico">
<link rel="icon" type="image/png" sizes="16x16" href="/favicon-16x16.png">
<link rel="icon" type="image/png" sizes="32x32" href="/favicon-32x32.png">
<link rel="apple-touch-icon" href="/apple-touch-icon.png">
<link rel="mask-icon" href="/safari-pinned-tab.svg">
<meta name="theme-color" content="#2e2e33">
<meta name="msapplication-TileColor" content="#2e2e33">
<meta name="generator" content="Hugo 0.89.4" />
<link rel="alternate" type="application/rss+xml" href="/index.xml">
<link rel="alternate" type="application/json" href="/index.json">
<noscript>
<style>
#theme-toggle,
.top-link {
display: none;
}
</style>
<style>
@media (prefers-color-scheme: dark) {
:root {
--theme: rgb(29, 30, 32);
--entry: rgb(46, 46, 51);
--primary: rgb(218, 218, 219);
--secondary: rgb(155, 156, 157);
--tertiary: rgb(65, 66, 68);
--content: rgb(196, 196, 197);
--hljs-bg: rgb(46, 46, 51);
--code-bg: rgb(55, 56, 62);
--border: rgb(51, 51, 51);
}
.list {
background: var(--theme);
}
.list:not(.dark)::-webkit-scrollbar-track {
background: 0 0;
}
.list:not(.dark)::-webkit-scrollbar-thumb {
border-color: var(--theme);
}
}
</style>
</noscript><meta property="og:title" content="" />
<meta property="og:description" content="专注社会科学(经济管理)科研领域的Python文本图片数据分析，涵盖数据分析主要环节，如Python网络爬虫、Pandas数据探索性分析、中英文文本数据清洗、机器学习与自然语言处理、大语言模型LLM、文本分析。开发有专门的Python经济管理文本数据挖掘视频课程，通过学习本课程可将非结构文本数据(另类数据)转化为结构化的数据。可应对会计、营销、管理信息系统、公司金融、社会学、传播学、新闻学等方向的科研数据需要。Focused on Python text and image data analysis within the field of social science (economic management) research, this course covers major aspects of data analysis such as Python web scraping, exploratory data analysis with Pandas, cleaning of Chinese and English textual data, machine learning, and natural language processing along with large language models (LLM)、text analysis. A specialized video course on Python for economic management text data mining has been developed. Through this course, learners can transform unstructured text data (alternative data) into structured data. It caters to research data needs in areas like accounting, marketing, management information systems, corporate finance, sociology, communication studies, journalism, and more." />
<meta property="og:type" content="website" />
<meta property="og:url" content="/" />
<meta name="twitter:card" content="summary"/>
<meta name="twitter:title" content=""/>
<meta name="twitter:description" content="专注社会科学(经济管理)科研领域的Python文本图片数据分析，涵盖数据分析主要环节，如Python网络爬虫、Pandas数据探索性分析、中英文文本数据清洗、机器学习与自然语言处理、大语言模型LLM、文本分析。开发有专门的Python经济管理文本数据挖掘视频课程，通过学习本课程可将非结构文本数据(另类数据)转化为结构化的数据。可应对会计、营销、管理信息系统、公司金融、社会学、传播学、新闻学等方向的科研数据需要。Focused on Python text and image data analysis within the field of social science (economic management) research, this course covers major aspects of data analysis such as Python web scraping, exploratory data analysis with Pandas, cleaning of Chinese and English textual data, machine learning, and natural language processing along with large language models (LLM)、text analysis. A specialized video course on Python for economic management text data mining has been developed. Through this course, learners can transform unstructured text data (alternative data) into structured data. It caters to research data needs in areas like accounting, marketing, management information systems, corporate finance, sociology, communication studies, journalism, and more."/>
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "大邓和他的Python",
"url": "/",
"description": "专注社会科学(经济管理)科研领域的Python文本图片数据分析，涵盖数据分析主要环节，如Python网络爬虫、Pandas数据探索性分析、中英文文本数据清洗、机器学习与自然语言处理、大语言模型LLM、文本分析。开发有专门的Python经济管理文本数据挖掘视频课程，通过学习本课程可将非结构文本数据(另类数据)转化为结构化的数据。可应对会计、营销、管理信息系统、 …",
"thumbnailUrl": "/favicon.ico",
"sameAs": [
"https://github.com/hidadeng", "index.xml", "http://wpa.qq.com/msgrd?v=3\u0026uin=372335839\u0026site=qq\u0026menu=yes", "mailto:372335839@qq.com"
]
}
</script>
<script async src="https://www.googletagmanager.com/gtag/js?id=G-LEXKZ8MRX7"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag('js', new Date());
gtag('config', 'G-LEXKZ8MRX7');
</script>
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link href="https://fonts.googleapis.com/css2?family=Noto+Serif+SC" rel="stylesheet">
<link href="https://fonts.googleapis.com/css2?family=PT+Serif" rel="stylesheet">
</head>
<body class="list" id="top">
<script>
if (localStorage.getItem("pref-theme") === "dark") {
document.body.classList.add('dark');
} else if (localStorage.getItem("pref-theme") === "light") {
document.body.classList.remove('dark')
} else if (window.matchMedia('(prefers-color-scheme: dark)').matches) {
document.body.classList.add('dark');
}
</script>
<header class="header">
<nav class="nav">
<div class="logo">
<a href="/" accesskey="h" title="大邓和他的Python (Alt + H)" target="_blank">大邓和他的Python</a>
<span class="logo-switches">
<button id="theme-toggle" accesskey="t" title="(Alt + T)">
<svg id="moon" xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24"
fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round"
stroke-linejoin="round">
<path d="M21 12.79A9 9 0 1 1 11.21 3 7 7 0 0 0 21 12.79z"></path>
</svg>
<svg id="sun" xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24"
fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round"
stroke-linejoin="round">
<circle cx="12" cy="12" r="5"></circle>
<line x1="12" y1="1" x2="12" y2="3"></line>
<line x1="12" y1="21" x2="12" y2="23"></line>
<line x1="4.22" y1="4.22" x2="5.64" y2="5.64"></line>
<line x1="18.36" y1="18.36" x2="19.78" y2="19.78"></line>
<line x1="1" y1="12" x2="3" y2="12"></line>
<line x1="21" y1="12" x2="23" y2="12"></line>
<line x1="4.22" y1="19.78" x2="5.64" y2="18.36"></line>
<line x1="18.36" y1="5.64" x2="19.78" y2="4.22"></line>
</svg>
</button>
</span>
</div>
<ul id="menu">
<li>
<a href="/about/" title="关于" target="_blank">
<span>关于</span>
</a>
</li>
<li>
<a href="/blog/" title="博文" target="_blank">
<span>博文</span>
</a>
</li>
<li>
<a href="/search/" title="搜索" target="_blank">
<span>搜索</span>
</a>
</li>
<li>
<a href="/archives/" title="归档" target="_blank">
<span>归档</span>
</a>
</li>
<li>
<a href="/tags/" title="标签" target="_blank">
<span>标签</span>
</a>
</li>
<li>
<a href="/blog/management_python_course/" title="课程" target="_blank">
<span>课程</span>
</a>
</li>
<li>
<a href="/blog/the_text_analysis_list_about_ms/" title="文献" target="_blank">
<span>文献</span>
</a>
</li>
<li>
<a href="/blog/datasets_available_for_management_science/" title="数据" target="_blank">
<span>数据</span>
</a>
</li>
<li>
<a href="/blog/2024-04-27-cntext2x-usage-tutorial/" title="cntext" target="_blank">
<span>cntext</span>
</a>
</li>
<li>
<a href="/index.xml" title="RSS" target="_blank">
<span>RSS</span>
</a>
</li>
</ul>
</nav>
</header>
<main class="main"><div class="profile">
<div class="profile_inner"><img src="images/blog/dadeng.jpg" alt="profile image"
height="150" width="150" />
<a href='https://hidadeng.github.io/about/' target="_blank">
<h1>大邓</h1>
</a>
<span>The limits of my language mean the limits of my world.</span>
<span class="multipleStrings"></span><div class="social-icons">
<a href="https://github.com/hidadeng" target="_blank" rel="noopener noreferrer me" title="Github">
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"
stroke-linecap="round" stroke-linejoin="round">
<path
d="M9 19c-5 1.5-5-2.5-7-3m14 6v-3.87a3.37 3.37 0 0 0-.94-2.61c3.14-.35 6.44-1.54 6.44-7A5.44 5.44 0 0 0 20 4.77 5.07 5.07 0 0 0 19.91 1S18.73.65 16 2.48a13.38 13.38 0 0 0-7 0C6.27.65 5.09 1 5.09 1A5.07 5.07 0 0 0 5 4.77a5.44 5.44 0 0 0-1.5 3.78c0 5.42 3.3 6.61 6.44 7A3.37 3.37 0 0 0 9 18.13V22">
</path>
</svg>
</a>
<a href="index.xml" target="_blank" rel="noopener noreferrer me" title="RSS">
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"
stroke-linecap="round" stroke-linejoin="round">
<path d="M4 11a9 9 0 0 1 9 9" />
<path d="M4 4a16 16 0 0 1 16 16" />
<circle cx="5" cy="19" r="1" />
</svg>
</a>
<a href="http://wpa.qq.com/msgrd?v=3&uin=372335839&site=qq&menu=yes" target="_blank" rel="noopener noreferrer me" title="Qq">
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"
stroke-linecap="round" stroke-linejoin="round">
<path transform="scale(0.04) translate(75 40)" stroke-width="50"
d="M433.754 420.445c-11.526 1.393-44.86-52.741-44.86-52.741 0 31.345-16.136 72.247-51.051 101.786 16.842 5.192 54.843 19.167 45.803 34.421-7.316 12.343-125.51 7.881-159.632 4.037-34.122 3.844-152.316 8.306-159.632-4.037-9.045-15.25 28.918-29.214 45.783-34.415-34.92-29.539-51.059-70.445-51.059-101.792 0 0-33.334 54.134-44.859 52.741-5.37-.65-12.424-29.644 9.347-99.704 10.261-33.024 21.995-60.478 40.144-105.779C60.683 98.063 108.982.006 224 0c113.737.006 163.156 96.133 160.264 214.963 18.118 45.223 29.912 72.85 40.144 105.778 21.768 70.06 14.716 99.053 9.346 99.704z">
</path>
</svg>
</a>
<a href="mailto:372335839@qq.com" target="_blank" rel="noopener noreferrer me" title="Email">
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 21" fill="none" stroke="currentColor" stroke-width="2"
stroke-linecap="round" stroke-linejoin="round">
<path d="M4 4h16c1.1 0 2 .9 2 2v12c0 1.1-.9 2-2 2H4c-1.1 0-2-.9-2-2V6c0-1.1.9-2 2-2z"></path>
<polyline points="22,6 12,13 2,6"></polyline>
</svg>
</a>
</div>
<div class="buttons">
<a class="button" href="blog/management_python_course/" rel="noopener" title="视频课程" target='_blank'>
<span class="button-inner">视频课程</span>
</a>
<a class="button" href="blog/the_text_analysis_list_about_ms/" rel="noopener" title="文献资料" target='_blank'>
<span class="button-inner">文献资料</span>
</a>
<a class="button" href="blog/datasets_available_for_management_science/" rel="noopener" title="数据集" target='_blank'>
<span class="button-inner">数据集</span>
</a>
<a class="button" href="blog/2024-04-27-cntext2x-usage-tutorial/" rel="noopener" title="Cntext" target='_blank'>
<span class="button-inner">Cntext</span>
</a>
<a class="button" href="blog/text_analysis_code_list_about_ms/" rel="noopener" title="代码资料" target='_blank'>
<span class="button-inner">代码资料</span>
</a>
</div>
</div>
</div>
</main>
<footer class="footer">
<span>© 2026 <a href="/">大邓和他的Python</a></span>
</footer>
<a href=#top aria-label="go to top" title="Go to Top (Alt + G)" class=top-link id=top-link accesskey=g><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 12 6" fill="currentcolor"><path d="M12 6H0l6-6z"/></svg></a>
<script>
let menu = document.getElementById('menu')
if (menu) {
menu.scrollLeft = localStorage.getItem("menu-scroll-position");
menu.onscroll = function () {
localStorage.setItem("menu-scroll-position", menu.scrollLeft);
}
}
document.querySelectorAll('a[href^="#"]').forEach(anchor => {
anchor.addEventListener("click", function (e) {
e.preventDefault();
var id = this.getAttribute("href").substr(1);
if (!window.matchMedia('(prefers-reduced-motion: reduce)').matches) {
document.querySelector(`[id='${decodeURIComponent(id)}']`).scrollIntoView({
behavior: "smooth"
});
} else {
document.querySelector(`[id='${decodeURIComponent(id)}']`).scrollIntoView();
}
if (id === "top") {
history.replaceState(null, null, " ");
} else {
history.pushState(null, null, `#${id}`);
}
});
});
</script>
<script>
var mybutton = document.getElementById("top-link");
window.onscroll = function () {
if (document.body.scrollTop > 800 || document.documentElement.scrollTop > 800) {
mybutton.style.visibility = "visible";
mybutton.style.opacity = "1";
} else {
mybutton.style.visibility = "hidden";
mybutton.style.opacity = "0";
}
};
</script>
<script>
document.getElementById("theme-toggle").addEventListener("click", () => {
if (document.body.className.includes("dark")) {
document.body.classList.remove('dark');
localStorage.setItem("pref-theme", 'light');
} else {
document.body.classList.add('dark');
localStorage.setItem("pref-theme", 'dark');
}
})
</script>
</body>
</html>