将“MTEXT”类型转换为“TEXT”类型（多行文字转单行文字）的lisp代码

MATLAB Text Analytics Toolbox官方教程，包含实例和参考手册

sublime Text,Sublime_Text3_Stable_Build,有历史版本，此为文档，打开后有长期有效的百度网盘的链接和提取码，欢迎使用。

Derive useful insights from your data using Python. Learn the techniques related to natural language processing and text analytics, and gain the skills to know which technique is best suited to solve a particular problem. Text Analytics with Python teaches you both basic and advanced concepts, including text and language syntax, structure, semantics. You will focus on algorithms and techniques, such as text classification, clustering, topic modeling, and text summarization. A structured and comprehensive approach is followed in this book so that readers with little or no experience do not find themselves overwhelmed. You will start with the basics of natural language and Python and move on to advanced analytical and machine learning concepts. You will look at each technique and algorithm with both a bird's eye view to understand how it can be used as well as with a microscopic view to understand the mathematical concepts and to implement them to solve your own problems. This book Provides complete coverage of the major concepts and techniques of natural language processing (NLP) and text analytics Includes practical real-world examples of techniques for implementation, such as building a text classification system to categorize news articles, analyzing app or game reviews using topic modeling and text summarization, and clustering popular movie synopses and analyzing the sentiment of movie reviews Shows implementations based on Python and several popular open source libraries in NLP and text analytics, such as the natural language toolkit (nltk), gensim, scikit-learn, spaCy and Pattern What you will learn Natural Language concepts Analyzing Text syntax and structure Text Classification Text Clustering and Similarity analysis Text Summarization Semantic and Sentiment analysis Readership The book is for IT professionals, analysts, developers, linguistic experts, data scientists, and anyone with a keen interest in linguistics, analytics, and generating insights from

matlab中text函数在显示字符串时的使用方法

sublime_text3中文版本，直接下载即可。

Sublime Text 是一个代码编辑器（Sublime Text 2是收费软件，但可以无限期试用），也是HTML和散文先进的文本编辑器。Sublime Text是由程序员Jon Skinner于2008年1月份所开发出来，它最初被设计为一个具有丰富扩展功能的Vim。 Sublime Text具有漂亮的用户界面和强大的功能，例如代码缩略图，Python的插件，代码段等。还可自定义键绑定，菜单和工具栏。Sublime Text 的主要功能包括：拼写检查，书签，完整的 Python API ， Goto 功能，即时项目切换，多选择，多窗口等等。Sublime Text 是一个跨平台的编辑器，同时支持Windows、Linux、Mac OS X等操作系统。

uni-app、微信小程序 富文本内容利用html2json转换成对应类似控件 rich-text 对应的数组资源格式，进行富文本文件的展示。

Sublime Text 3 32位和64位优化版，自己定制主题的地址和我的主题包

Source Insight居然在我有生之年更新了，然鹅宝宝没找到怎么将3.5版本的配色方案导入到4.0版本上，于是自己模仿sublimetext做了一个配色方案。注意不同的显示器之间会有色差。戳这个链接看图：https://blog.csdn.net/kl123sddm/article/details/78965711 导入步骤： 1、在source insight4.0的菜单栏选择“Options”； 2、选择“Load Configuration”； 3、浏览选择到下载好的配色方案文件，后缀名为“.xml”； 4、点击“Continue”即可完成导入。 如果实在没有积分可以私信我你的邮件地址，我看到就会发给你哒~