rapidminer text mining

Introduction: Subject of "Research on innovative ideas and scientific methods of automation Disciplines", no. 2009im020300. The project aims to systematically analyze the knowledge elements (including figures, institutions, and research objects) that affect the development of domestic automation fields, form a knowledge system, build a knowledge service network platform, and provide knowledge services, promote knowledge innovation. The project involves literature intelligence analysis and rese

Part2 word processingAfter installing the related software package in Rstudio, we can do the related word processing, please refer to the Part1 section to install the required package. Reference Document: Play text mining, this article is about using R to do text mining is very detailed, and some related information do

wanted to join in. Wu Yan was very excited, at the same time, I am very grateful to Dr. Zhang for his trust in him. On the other hand, the current state of the Project will surely accelerate the break of the capital chain. For a time, Wu Yan was in a dilemma.Wu Yan was embarrassed to say, "I really appreciate your affirmation of me. Thank you! In this way, I will first introduce you to the basic information of our project. Are you sure you want to make a decision ?""Okay !" Zhang shaozhi's visi

between the word character \w i.e.[a-za-z0-9_] and the non-word character \w. The function of this regular expression is to match at least two digits or character \\w\\w+, for only one bit \w or directly matching more bits of the case \w+ is an exclusion. def Number_aware_tokenizer (DOC): token_pattern = re.compile (U ' (? u) \\b\\w\\w+\\b ') tokens = Token_ Pattern.findall (DOC) tokens = [' #NUMBER ' if token[0] in ' 0123456789_ ' else token for token on tokens] return token S T

As analyzed in the previous article, three types of services are provided in the background systems of full-text search, data mining, and recommendation engine: Synchronous service, asynchronous service, and background service. For synchronization services that can use Web Service, XML Over HTTP or Restful services, I used Jason over HTTP in the project, mainly considering the high efficiency of Json parsin

In actual projects, similarity calculation is required in many cases. For example, in e-commerce systems, users who like this product often prefer this product, generally, similarity calculation is one of the methods to implement this function, which can be considered as a content-based recommendation system application. At the same time, similarity calculation can not only be used to recommend products, but also use the same algorithm to calculate user similarity and recommend other users of in

drives them to do these things well. However, for an enterprise that has not completed the registration, it is difficult for employees to have a true sense of identity. Therefore, it is not easy to put forward and execute a requirement, wu Yan was prepared.Wu Yan then assigned all the work tasks. Basically, Zeng Yujie checked the products previously entered into the system, especially the price information, li Weidong is mainly engaged in website users, permissions and statistical functions. Zh

("rwordseg"="http://R-Forge.R-project.org"="source") However, this installation is unsuccessful. After trying to download the package locally, it is possible to install it locally.: Http://R-Forge.R-project.org/bin/windows/contrib/3.0/Rwordseg_0.2-1.zipAfter the download is complete, select Install package from local zip file in R or Rstudio. After the installation is complete, load the package library ("Rwordseg"). Try using rwordseg as a simple example: 1 SEGM