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nlp's Introduction

NLP基础知识

NLP应用案例

让机器理解文字

图像、文字和声音是人类接触、理解外部世界最常见的三种形式,其中文字又是最容易保存和进行交换的形式。大量的人类文明,最终都是以文字的形式保留下来的;大量的信息交换,都是是文字的形式进行。如何能让机器可以与人交流,理解人类的**,最终能像人类一样理解文字以及文字背后的各种想法、意图呢?自然语言处理,即所谓的NLP是重要的支撑技术。

人机对话

NLP与安全

在传统的web攻防中,大家与http协议结下了不解之缘。但是在安全领域,web攻防只是很小一个分支。许多明显的与工作和生活无关的垃圾邮件,人一样就可以看出来,但是基于规则的垃圾邮件网关处理起来却总是差强人意。越来越多的电商、论坛甚至是视频网站的弹幕,总是可以看到明显的人身攻击或者违法违规信息,但是基于规则的过滤机制总是被绕过。人类可以很轻松的理解二十四口交换机,知道苹果是水果还是手机,但是机器如何做到呢?答案就是NLP。

一本开源的NLP入门书籍

这可能是第一本用开源的**写的NLP入门书籍,整个写作过程都在我的Github上。

https://github.com/duoergun0729/nlp

之所以想用开源的思路去写,主要是因为NLP技术,尤其是基于机器学习的NLP技术发展非常快,比如目前已经广泛使用的fasttext技术,2016年发布论文,2017年已经进入大量生产领域,但是许多自然语言处理书籍还停留在大学课程的范围,甚至连词向量都很少涉及。相对周期繁琐的纸质书籍编写,在Github上我可以很方便的进行编写和更新,有勘误也可以很快修改。目前我已经完成了其中的三篇,后面我将不断更新内容,大家可以订阅我的Github,或者关注我的微信公众号《兜哥带你学安全

公众号

License

© 2018~2020 兜哥.

本作品采用知识共享署名-非商业性使用 4.0 国际许可协议进行许可。没有我许可的任何使用该书进行的商业行为都是违法。

打赏

写书不容易,尤其是使用个人休息时间的写作,感谢您的打赏,100不嫌多1块不嫌少。

打赏

如果您更喜欢知识星球这种形式,可以加入我的知识星球,NLP相关的问题也可以在星球里面提问。

知识星球

nlp's People

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nlp's Issues

fastText模型测试需要输入分词和去停用词的文本吧?

我用于训练的中文语料是分词和去停用词的语料,那我在线预测的时候也要对一段未知的文本进行分词和去停用词后作为输入预测的结果才比较准确,将文本段落不分词和去停用词直接传入预测出来都是错的?

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