|##### | section1 NLP基础 11% |######### | section1 收集语料 前处理 分词 语义解析 NLP基础 13% |########### | section1 收集语料 前处理 分词 语义解析 • 使用爬虫收集的语言数据 • 公司拥有的语言数据 NLP基础 15% |############# | section1 收集语料 》等。 NLP基础 16% |############## | section1 收集语料 前处理 分词 语义解析 • 使用爬虫收集的语言数据 • 公司拥有的语言数据 • 根据你的目的删掉一些不需要的 特殊符号,例如 ①②③《 》等。 NLP基础 18% |############### | section1 收集语料 前处理 分词 向量化 机器学习模型 各种OUTPUT NLP基础 22% |################## | section1 收集语料 前处理 分词 向量化 机器学习模型 各种OUTPUT 语义解析 有时候会把语义分析的结果做成 feature，放进机器学习模型里。 EDA NLP基础 25% |################### | section1 收集语料 前处理 分词 向量化 机器学习模型 语义解析

|### | today’s topic 1 Python NLP 入门 简单介绍自然语言处理的流程和使用corpus的EDA方法。 8% |##### | section1 NLP基础 11% |####### | section1 收集语料 前处理 分词 语义分析 • 使用爬虫收集的语言数据 • 公司拥有的语言数据 • 根据你要达到的目的删掉一些 不需要的东西，例如①②③； 词语 • 短语 • 句子 • 文 NLP基础 14% |########### | section1 收集语料 前处理 分词 向量化 （Vectorization） 机器学习模型 各种OUTPUT 语义解析 NLP基础 19% |################ | section1 收集语料 前处理 分词 向量化 机器学习模型 语义解析 有时候会把语义分析的结果feature， NLP基础 23% |################### | section1 收集语料 前处理 分词 向量化 机器学习模型 语义解析 各种OUTPUT ※一般来说，把数据处理成countabul的形式之后 做EDA。 EDA NLP基础 28% |######################## | section1 收集语料 前处理 分词 向量化 机器学习模型 语义解析

In order to get useful diagnostics from mypy, you must add type annotations to your code. See the section below for details. 3 Mypy Documentation, Release 1.8.0 1.1.2 Dynamic vs static typing A function codebase This section explains how to get started using mypy with an existing, significant codebase that has little or no type annotations. If you are a beginner, you can skip this section. 1.3.1 Start ignore_errors = True You could even invert this, by setting ignore_errors = True in your global config section and only enabling error reporting with ignore_errors = False for the set of modules you are ready

In order to get useful diagnostics from mypy, you must add type annotations to your code. See the section below for details. Dynamic vs static typing A function without type annotations is considered to codebase This section explains how to get started using mypy with an existing, significant codebase that has little or no type annotations. If you are a beginner, you can skip this section. Start small ignore_errors = True You could even invert this, by setting ignore_errors = True in your global config section and only enabling error reporting with ignore_errors = False for the set of modules you are ready

In order to get useful diagnostics from mypy, you must add type annotations to your code. See the section below for details. Dynamic vs static typing A function without type annotations is considered to codebase This section explains how to get started using mypy with an existing, significant codebase that has little or no type annotations. If you are a beginner, you can skip this section. Start small ignore_errors = True You could even invert this, by setting ignore_errors = True in your global config section and only enabling error reporting with ignore_errors = False for the set of modules you are ready

In order to get useful diagnostics from mypy, you must add type annotations to your code. See the section below for details. 3 Mypy Documentation, Release 1.10.0+dev.790e8a73d8671a41cae419b4ea07579bfb2bc292 codebase This section explains how to get started using mypy with an existing, significant codebase that has little or no type annotations. If you are a beginner, you can skip this section. 1.3.1 Start ignore_errors = True You could even invert this, by setting ignore_errors = True in your global config section and only enabling error reporting with ignore_errors = False for the set of modules you are ready

apply(), buffer(), coerce(), and intern(). They are documented in the Non-essential Built-in Functions section. abs(x) Return the absolute value of a number. The argument may be a plain or long integer or a file(name[, mode[, buffering]]) Constructor function for the file type, described further in section File Objects. The constructor’s arguments are the same as those of the open() built-in function described open(name[, mode[, buffering]]) Open a file, returning an object of the file type described in section File Objects. If the file cannot be opened, 14 Chapter 2. 内置函数 The Python Library Reference, 发布

apply(), buffer(), coerce(), and intern(). They are documented in the Non-essential Built-in Functions section. abs(x) Return the absolute value of a number. The argument may be a plain or long integer or a file(name[, mode[, buffering]]) Constructor function for the file type, described further in section File Objects. The constructor’s arguments are the same as those of the open() built-in function described open(name[, mode[, buffering]]) Open a file, returning an object of the file type described in section File Objects. If the file cannot be opened, 14 Chapter 2. 内置函数 The Python Library Reference, 发布

apply(), buffer(), coerce(), and intern(). They are documented in the Non-essential Built-in Functions section. abs(x) Return the absolute value of a number. The argument may be a plain or long integer or a file(name[, mode[, buffering]]) Constructor function for the file type, described further in section File Objects. The constructor’s arguments are the same as those of the open() built-in function described open(name[, mode[, buffering]]) Open a file, returning an object of the file type described in section File Objects. If the file cannot be opened, 14 Chapter 2. 内置函数 The Python Library Reference, 发布

[^a-zA-Z0-9_]。 这些序列可以包含在字符类中。例如，[\s,.] 是一个匹配任何空格字符的字符类或者 ',' ，或 '.'。 The final metacharacter in this section is .. It matches anything except a newline character, and there’s an alternate mode (re.DOTALL) where 在字符串文字中用于相同目的的相同字符的使用相冲突。 假设你想要编写一个与字符串 \section 相匹配的正则，它可以在 LaTeX 文件中找到。要找出在程序代码 中写入的内容，请从要匹配的字符串开始。接下来，您必须通过在反斜杠前面添加反斜杠和其他元字符，从 而产生字符串 \\section。必须传递给 re.compile() 的结果字符串必须是 \\section。但是，要将其 表示为 Python 字符串文字，必须 再次转义两个反斜杠。 再次转义两个反斜杠。 字符 阶段 \section 被匹配的字符串 \\section 为 re.compile() 转义的反斜杠 "\\\\section" 为字符串字面转义的反斜杠 简而言之，要匹配文字反斜杠，必须将 '\\\\' 写为正则字符串，因为正则表达式必须是 \\，并且每个反 斜杠必须表示为 \\ 在常规 Python 字符串字面中。在反复使用反斜杠的正则中，这会导致大量重复的反斜杠，