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去除标点符号与其他符号

清理会干扰模型的字符

去除标点符号与其他符号 是 CoddyKit 上的免费 NLP Academy 课时。这是第 3 节课，共 4 节。你可以在下方免费阅读本课时的完整内容 — 然后在浏览器中使用内置代码编辑器和全天候 AI 导师进行实践。这是 NLP Academy 学习路径的一部分，你的进度在网页和 CoddyKit 应用中同步。 NLP Academy 课程共包含 4 节课。

本课时的部分内容尚未翻译，以英文显示。

Punctuation Is Noise Too

After stopwords, the next clutter is symbols. Commas, dollar signs, and emoji can confuse a model, so we often strip punctuation away.

Why It Matters

Without cleanup, your model sees cat, and cat as two different tokens. That trailing comma splits one word into two features.

Python Knows the Marks

The string module hands you every common mark in one constant called punctuation, so you never type them out by hand.

import string
print(string.punctuation)

The translate Trick

The fastest way to delete characters is str.translate with a table that maps each mark to nothing at all.

table = str.maketrans("", "", string.punctuation)
clean = "hello, world!".translate(table)
print(clean)

Per-Token Cleaning

You can also strip marks token by token. Apply translate inside a comprehension, then drop any token that became empty.

clean = [t.translate(table) for t in tokens]
clean = [t for t in clean if t]

Regex for Symbols

Need more control than the fixed list? A regex can wipe anything that is not a letter, number, or space.

import re
clean = re.sub(r"[^a-zA-Z0-9 ]", "", text)

Beware of Useful Marks

Some symbols carry meaning. Stripping every dot turns u.s.a into usa, and that may not be what you want for your task.

Numbers Are a Choice

Digits are not punctuation, but they are often noise. Decide on purpose whether to keep or drop numbers for your data.

no_digits = re.sub(r"\d+", "", text)

Watch Unicode Symbols

The ASCII punctuation set misses curly quotes and emoji. A Unicode-aware regex catches the symbols a fixed list leaves behind.

clean = re.sub(r"[^\w\s]", "", text)

Collapse Extra Spaces

Removing marks can leave gaps and double spaces. A quick whitespace squeeze tidies the result back into clean words.

clean = re.sub(r"\s+", " ", clean).strip()

Order of Operations

Sequence matters. Strip punctuation before you split or compare, so trailing marks never sneak into your final tokens.

Quick Check

Pick the cleanest way to delete punctuation from a string.

Recap

You can now strip punctuation with translate or regex, handle Unicode and numbers on purpose, and squeeze leftover spaces for clean tokens.

常见问题解答

「去除标点符号与其他符号」课时是免费的吗？

是的 — 「去除标点符号与其他符号」的完整文本可在网页上免费阅读。要进行交互式练习（内置代码编辑器和全天候 AI 导师）并解锁 NLP Academy 课程的其余内容，请升级到 CoddyKit PRO。 NLP Academy 课程共包含 4 节课。

「去除标点符号与其他符号」这节课中我会学到什么？

清理会干扰模型的字符你通过在浏览器中直接运行的动手代码来练习 NLP Academy，全天候 AI 导师会在你学习这节课的过程中回答你的问题。

学习 NLP Academy 需要有经验吗？

无需任何先前经验。CoddyKit 上的 NLP Academy 课程适合初学者到高级学习者，你可以从这里开始或从头开始，按照自己的节奏学习。这是第 3 节课，共 4 节。

「去除标点符号与其他符号」课时需要多长时间？

大多数 CoddyKit 课程大约需要 5–10 分钟。每节课都很精短且互动，所以你能稳步进步，并在网页和应用中从离开的地方继续。

我能在这节 NLP Academy 课中编写并运行代码吗？

能。每节 NLP Academy 课都包含内置代码编辑器，你可以在浏览器中直接编写并运行真实代码，并获得即时 AI 反馈 — 无需本地设置。

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