垃圾邮件kontrol [英] spam kontrol
问题描述
hii
$ b $认为你知道垃圾邮件页面对网络用户来说是最害怕的。我希望
将垃圾邮件页面区分为有用页面
if你有一个想法惠特这个问题请求分享给我
谢谢
hii
y think you know spam page is the most pest for net user.I want
distinguish spam page to usefull page
if you have a idea whit this problem pleas share to me
thank you
推荐答案
10月3日，下午12:59，oruc ... @ gmail.com < oruc ... @ gmail.comwrote：
On Oct 3, 12:59 pm, "oruc...@gmail.com" <oruc...@gmail.comwrote:
hii
你认为你知道垃圾邮件页面对网络用户来说是最大的害虫。
hii
y think you know spam page is the most pest for net user.
....紧随其后的第二个位置是语无伦次的错误拼写
帖子愚蠢的即时消息发言。
....closely followed in the second position by incoherent misspelled
posts in silly IM-speak.
George Sakkis写道：
George Sakkis wrote:
10月3日下午12:59，oruc ... @ gmail.com < oruc ... @ gmail.comwrote：
On Oct 3, 12:59 pm, "oruc...@gmail.com" <oruc...@gmail.comwrote:
> hii
你认为你知道垃圾邮件页面是网络用户最害怕的。
>hii
y think you know spam page is the most pest for net user.
...在第二个位置紧随其后的是语无伦次的错误拼写
帖子愚蠢的即时消息。
你知道，有非英语母语的人。也许
你应该考虑之前可能会侮辱那些没有受到侮辱的人（尽管他看起来像是土耳其人）。
/ W
（我为最后一句话道歉。我对土耳其人没有任何反对意见，
我只是不能让一个平均笑话的机会滑。）
You know, there are such people as non-native English speakers. Maybe
you should consider that before possibly insulting people who do not
derserve to be insulted (altough he does appear to be turkish).
/W
(I aplogize for that last remark. I have nothing against turkish people,
I just couldn''t let the opportunity for a mean joke slip.)
或***** @ gmail.com 写道：
hii
$ b $认为你知道垃圾邮件页面是网络用户最害怕的。我想要
区分垃圾页面到有用的页面
如果你有这个问题，请求请求分享给我
谢谢
hii
y think you know spam page is the most pest for net user.I want
distinguish spam page to usefull page
if you have a idea whit this problem pleas share to me
thank you
GIYF：
< URL：http：//www.google.com/search？hl = en& safe = off& q = spam + detection + python& btnG = Search>
垃圾邮件检测是一个相当错综复杂的问题，所以你必须做很多
的阅读和试验才能做到这一点有效的。
也许你可以搜索文本挖掘，n-gram，矢量空间
模型，信息检索等等。
/ W
（我没有具体提示，抱歉）
GIYF:
<URL:http://www.google.com/search?hl=en&safe=off&q=spam+detection+python&btnG =Search>
Spam detection a rather intricate problem, so you''ll have to do a lot of
reading and experimenting to do it efficiently.
Maybe you can search for stuff like text-mining, n-gram, vector-space
model, information retrieval, etc.
/W
(I have no concrete tips, sorry)
这篇关于垃圾邮件kontrol的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！
