文本挖掘 - 翻译成英语

• text mining

在 中文 中使用 文本挖掘 的示例及其翻译为 英语

在r中进行文本挖掘时最常用的包毫无疑问是tm包。
One of the most used packages for text mining in R is, without a doubt, the tm package.

CarlMalamud身后的数据库储存了7300万篇论文，他打算让科学家用来文本挖掘。
Carl Malamud in front of the data store of 73 million articles that he plans to let scientists text mine.

由于目前的大多数信息（80％）是以文本的形式来保存，文本挖掘被认为具有较高的商业潜在价值。
As most information(common estimates say over 80%) is currently stored as text, text mining is believed to have a high commercial potential value.

一个简单的谷歌搜索绝对可以为你提供你需要的内容，从而形成自己的语料库开始文本挖掘。
A simple Google search can definitely provide you what you need to form your own corpus to get started on text mining.

自然语言处理（或NLP）是文本挖掘的一个组成部分，它执行特殊的语言分析，从根本上帮助机器“读取”文本。
Natural Language Processing(NLP) is a component of text mining that performs a special linguistic analysis that essentially helps a machine to‘'read'' text.

RapidMiner是一个数据科学软件平台，为数据准备、机器学习、深度学习、文本挖掘和预测分析提供一种集成环境。
Rapid Miner is a data science software platform that provides an integrated environment for data preparation, machine learning, deep learning, text mining and predictive analysis.

数据/文本挖掘决策支持系统商务智能.
Data/ Text Mining Business Intelligence Decision Support Systems.

自然语言处理和文本挖掘：发现主要差异。
Natural language processing and text mining: discover the main differences.

由于新的文本挖掘技术，现在已经完成了。
Thanks to new text-mining techniques, this has now been done.

社交媒体通过文本挖掘目标的有效策略和分析方案.
Efficient Strategies and Analytics Solutions for Social Media Targeting via Text Mining.

R和Python中的文本挖掘：8个入门小贴士.
Text Mining in R and Python: 8 Tips To Get Started.

文本挖掘技术对网络舆情信息的分析有很大帮助。
Text mining technology is of great help to the analysis of network public opinion information.

得益于新的文本挖掘技术，现在已经完成了。
Thanks to new text-mining techniques, this has now been done.

通过文本挖掘技术，可以处理自然语言文本以获得特定信息。
Through text mining technology, natural language text can be processed to obtain specific information.

文本挖掘通过使用各种分析方法来实现这一点;
Text mining accomplishes this through the use of a variety of analysis methodologies;

度量标准将随文本挖掘或NLP任务的类型而变化.
Metrics will vary dependent on what type of text mining or NLP task.

今天，我们将看看自然语言处理和文本挖掘之间的区别。
Today, we will look at the difference between natural language processing and text mining.

文本挖掘，是用来从文本里获得高质量信息的方法。
Text mining is a process of getting high-quality information from text..

重要的是文本挖掘和NLP在一起使用时的强大功能。
What's important is how powerful text mining and NLP can be when employed together.

学生普遍使用更少的算法，但多为文本挖掘和深度学习。
Students generally use fewer algorithms, but do more text mining and Deep Learning.