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

• 文本挖掘
• text mining

Examples of using Text mining in English and their translations into Chinese

How text mining works.
如何进行textmining.

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

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

How to do text mining.
如何进行textmining.

Text mining is the analysis of data contained in natural language text..
文本挖掘是对包含于自然语言文本中数据的分析。

How does text mining work.
如何进行textmining.

Everything that contains text can become the topic of your text mining case study.
任何包含文本的东西都可以成为你的文本挖掘案例学习的主题。

His research interests include large-scale text mining, recommender systems, deep neural networks, and social network analysis.
他的研究兴趣包括大规模文本挖掘、推荐系统、深度神经网络和社会网络分析。

Network public opinion information can be analyzed and utilized through text mining(Guo et al. 2014).
网络舆论信息可以通过文本挖掘进行分析和利用（Guoetal.2014）。

Text mining typically applies machine learning techniques such as clustering, classification, association rules and predictive modeling.
本挖掘典型地运用了机器学习技术，例如聚类，分类，关联规则，和预测建模。

RxNLP- Cluster Sentences and Short Texts: Text Mining and Natural Language Processing service.
RxNLP-ClusterSentencesandShortTexts：一个文本挖掘和自然语言处理服务。

Maximizing the exploitation of open research results through text mining.
文本与数据挖掘最大化对于开放的科学研究成果的利用(MaximizingtheexploitationofopenresearchresultsthroughTDM).

Instead, in text mining the main scope is to discover relevant information that is possibly unknown and hidden in the context of other information.
相反，在文本挖掘中，主要范围是发现可能未知并隐藏在其他信息环境中的相关信息。

When you have gotten curious, it's time to step up your game and start developing your knowledge and skills about text mining.
当你产生了好奇，就到了时间来设计你的游戏，并开始展开对文本挖掘知识和技能的学习。

The amount of programmatic code needed to solve the data processing and text mining in the unstructured world will require an army of developers.
在非结构化的世界里用以解决数据处理与文本挖掘的程序代码的数量需要一只庞大的开发人员队伍。

This could be an area where RL-based tools gain new users, as many companies are in need of better text mining solutions.
这可能是基于强化学习的工具能赢得用户的一个新领域，因为许多企业都需要更好的文本挖掘解决方案。

Text mining is the computational study of unstructured text to understand members' feedback and gain insights for better business decisions.
文本挖掘是针对非结构化文本进行计算研究，以理解用户反馈，并为更好地作出商业决策获得洞见。

PoolParty is a commercial thesaurus management and SKOS editor system that includes text mining and linked data capabilities.
PoolParty是一个商用的词库管理与SKOS编辑系统，它包含文件挖掘与数据链接功能。

First, as text mining practitioners, we often face the challenge of making a choice between vendor products, open source tools, and in-house solutions.
首先，在进行文本挖掘时，我们时常要面对抉择，包括选择供应商产品、开源工具以及内部解决方案。

It focuses on R and Hadoop skills, as well as statistical modeling, data analytics, machine learning, text mining and optimization.
它专注于R和Hadoop技能，以及统计建模，数据分析，机器学习，文本挖掘和优化技能。

In this post(text mining vs data mining), we will look at the important ways that text mining and data mining are different.
在这篇文章中（文本挖掘与数据挖掘），我们将看看文本挖掘和数据挖掘的不同重要方式。

In the O'Reilly survey, respondents said that they were most interested in using deep learning for computer vision, text mining and analytics.
在O'Reilly公司的调查中，受访者表示他们最感兴趣的是将深度学习用于计算机视觉、文本挖掘和分析。

Information extraction and text mining have been explored to automatically link ontologies to documents, for example in the context of the BioCreative challenges.
已经探索了信息提取和文本挖掘以自动地将本体链接到文档，例如BioCreative的挑战。

Oracle Data Miner includes an array of well-known machine learning approaches to support clustering, predictive mining and text mining.
OracleDataMiner包括了一系列知名的机器学习方法，支持聚类、预测性挖掘和文本挖掘。

Text mining and automated thesaurus compilation makes use of document-term matrices such as tf-idf to track frequencies of certain words in several documents.
文本挖掘和索引典汇编的时候，比如在TF-IDF方法中，也会用到文件项矩阵来追踪特定词汇在多个文件中的出现频率。

Among the first researchers in this emerging field, she has published numerous articles on NLP, machine learning and text mining from conversational texts..
在这一新兴领域的首批研究人员中，她发表了许多关于NLP、机器学习和文本挖掘的文章。

Text Mining APIs on Mashape Text Mining APIs on Programmable Web Text Mining APIs at the Text Analysis Portal for Research.
Mashape上的文本挖掘Api可编程网络上的文本挖掘Api文本分析门户网站的研究上的文本挖掘Api.

Text mining usually involves the process of structuring the input text, deriving patterns within the structured data, and finally evaluation and interpretation of the output.
文本挖掘通常涉及输入文本的处理过程，产生结构化数据，并最终评价和解释输出。