What is the translation of " TEXT DATA " in Chinese?

[tekst 'deitə]
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Examples of using Text data in English and their translations into Chinese

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Facebook is collecting your call and text data.
Facebook,称该公司收集他们的电话和短信记录.
This is interesting text data from Wikipedia.
这是一份有趣的文本数据它来自维基百科(Wikipedia).
All text data are preprocessed by removing html and xml tags.
所有的文本数据都通过删除html和xml标记进行了预处理。
If you want to apply topic models on your text data, gensim is the one you should have a try.
如果想要在文本数据中应用主题模型,那你应该去试试genism。
Columns of text data can be used to store ASCII characters longer than 8 KB.
Text数据类型的列可用于存储大于8KB的ASCII字符。
Natural language processing, chatbots, and unstructured text data is probably not going to be my thing?
自然语言处理、聊天机器人以及非结构文本数据几乎就跟我没什么关系了??
We argue that massive text data itself contains a large body of hidden patterns, structures, and knowledge.
我们认为大规模的文本数据其自身蕴含着大量的模式、结构或知识。
But thanks to recent improvements in NLP(Natural Language Processing),analyzing text data is now easier than ever.
好在由于NLP(自然语言处理)的改进,分析文本数据比以往任何时候都容易的多。
In turn, the strings fed to the text data type's input routine become\ and" respectively.
然后,字串填给text数据类型的输入过程,变成“\。
Scraping web pages andparsing it with Beautiful Soup can give us a lot of unstructured text data to work with.
从网页页面上爬取数据并使用BeautifulSoup解析可以提供大量非结构化文本数据供我们实践。
So far, we have been able to collect all the link text data within one<div> section of our web page.
到目前为止,我们已经能够在我们网页的一个<div>部分中收集所有链接文本数据
Also, the text data can be generated and parsed by tools, making it possible to create and analyze scenes automatically.
此外,文本数据可使用工具生成和解析,因而可以自动创建和分析场景。
I would also like to see some unstructuredanalytics alongside these topics as SO has a TON of text data attached to these tags.
我还希望看到这些主题旁边的一些非结构化分析,因为SO有成吨的文本数据附加到这些标记上.
Once these are all in use, then compressing text data(code and HTML) can improve initial page load times by a factor of two.
一旦这些都被使用,那么压缩文本数据(代码和HTML)可以将初始页面加载时间提高两倍。
Introduction One of the biggest breakthroughs required for achieving any level of artificial intelligenceis to have machines which can process text data.
简介实现任何程度或者级别的人工智能所必需的最大突破之一就是拥有可以处理文本数据的机器。
The science of extracting meaning and learning from text data is an active topic of research called Natural Language Processing(NLP).
文本数据中提取语义和学习的科学是一个被称为自然语言处理(NLP)的活跃研究课题。
This is the very reason we introduced our PhoneRescue,with the promise of getting all your lost-but-valued media or text data back in your hands.
这正是我们介绍我们的PhoneRescue,得到所有你失去了,但重视媒体或文本数据回到你手中的承诺的原因。
Our laboratory recently analyzed large amounts of text data in 64 online mental health forums, examining more than 6,400 members.".
我们的实验室最近对64不同的在线心理健康论坛进行了大数据文本分析,对6,400成员进行了检查。
Text data- including HTML(which includes plain text and HTML tags), CSS, and code such as JavaScript- is often transmitted uncompressed.
文本数据--包括HTML(包括纯文本和HTML标记)、CSS和JavaScript等代码--通常是未压缩传输的。
Many AI tools caneasily find patterns in simple image and text data, but scientific data is unique in its complexity.
大部分人工智能工具都能轻松找到简单的图像和文本数据的模式,但科学数据的复杂性却是独一无二的。
That's because text data is often sufficient for a user to interact with a page, where multimedia data may be more supportive or decorative.
这是因为文本数据通常足以让用户与页面交互,而在页面中,多媒体数据可能更具支持性或装饰性。
Starting with Python 2.0 a new data type for storing text data is available to the programmer: the Unicode object.
Unicode字符串从Python2.0开始,程序员们可以使用一种新的数据类型来存储文本数据:Unicode对象。
That's because text data is often sufficient for a user to interact with a page, where multimedia data may be more supportive or decorative.
这是因为文本数据经常是用户与网页交互的有效数据,而多媒体数据可能更多的是起提供支持或者装饰的作用。
However, only 32% of companies have successfully analysed text data, and even fewer are analysing other unstructured sources.
然而,由于老旧的文本分析平台非常复杂,只有32%的公司成功地分析了文本数据,而分析其他非结构化数据源的情况变得更少了。
An emphasis will be placed on the practical application of these techniques to high-dimensional numerical data, time series data,image data, and text data.
重点将放在这些技术对高维数值数据,时间序列数据,图像数据和文本数据的实际应用。
Besides internal documents, a company gets a lot of text data from the outside- for example, input forms and orders from a website.
除了各种内部文档之外,公司往往还需要从外部获取大量的文本数据,例如:导入从网站录入进来的表单和订单。
Is your application passing text data to the API function or does string data pass back from the API function to your application?
是您的应用程序向API函数传递文本数据,还是API函数向您的应用程序返回字符串数据?或者二者兼有??
NLP can be used anywhere where text data is involved- feature extraction, measuring feature similarity, create vector features of the text..
NLP可用于文本数据相关的任何地方:特征提取、测量特征相似度、创造文本的向量特征。
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