搜索资源列表
mmjb
- 著名的木马密码结巴的源代码。可是盗号码的经典了。是密码就能盗的。-famous Trojan Password articulation of the source code. However, the number of bootlegging a classic. Is the password can be stolen.
密码结巴源代码
- 密码结巴源代码,用于记录键盘信息，发送到指定的邮箱-password articulation source code, the keyboard used to record information sent to a designated mailbox
insfance
- 著名的木马密码结巴的源代码,可是盗号码的经典了,是密码就能盗的,-Famous Trojan password stammer source code, but stolen of the number of the classic, is the password can be stolen,
ssntthe
- 密码结巴源代码,用于记录键盘信息,发送到指定的邮箱,不错的-Password stammer source code, used to record the keyboard information, sent to the designated mailbox, pretty good
code
- 密码结巴源代码,用于记录键盘信息,发送到指定的邮箱,不错的-Password stammer source code, used to record the keyboard information, sent to the designated mailbox, pretty good
shsmmjr__source
- 密码结巴源代码,用于记录键盘信息,发送到指定的邮箱,不错的(Password stammer source code, used to record the keyboard information, sent to the designated mailbox, pretty good)
ucfppbf
- 密码结巴源代码,用于记录键盘信息,发送到指定的邮箱,不错的()
jieba
- python结巴分词模块.能对句子进行分词.(python module that make sentences into words)
zh_lstm
- lstm做情感分类,中文，用到豆瓣影评，结巴分词，lstm模型，环境python3做编码处理。(lstm for sentiment analyse)
cppjieba-master
- 结巴分词，提供针对中文的分词方法，使用C++语言编写(jieba provides a word segmentation method for Chinese, which is written in the C++ language)
CPP
- 分词，结巴分词C++版本。自己学习用，或者可以加入自己的项目(participle,C++ version of participle.Learn to use, or join your own project)
jiebacut.py
- 通过结巴分词处理中文分词问题【对文本进行分词以及词频统计处理】。(The problem of Chinese participle is dealt with by the branch word segmentation.)
jieba-jieba3k
- MATLAB 结巴分词的工具包，用于很多中文分词的模式识别代码程序，利用已有函数工具包提高工作效率，内有安装说明(MATLAB jieba toolkit, used for many Chinese word segmentation pattern recognition code programs, using existing function toolkits to improve work efficiency, with installation instructions)
gsqimatedeadlock
- 密码结巴源代码,用于记录键盘信息,发送到指定的邮箱,不错的()
text_classification_AI100-master
- 实现LSTM情感分析，中文，用到结巴分词，LSTM模型，环境python3.0(Achieve LSTM sentiment analysis, Chinese, use stuttering participle, LSTM model, environment python3.0)
垃圾短信分类
- 基于文本内容的垃圾短信识别,对数据进行了数据清洗,分词等,进行 了模型训练及评价(Based on the text content of spam short message recognition, data cleaning, segmentation, model training and evaluation are carried out)