text mining using rapidminer

features of the text, get the naive Bayes classification model, and make predictions ): 1: # Load config 2:Config = configuration. fromfile ("CONF/test. xml") 3:Pymining. INIT (config,"_ Global __") 4: 5: # Get matrix from Source Text 6:Matcreater = classifiermatrix (config,"_ Matrix __") 7:[Trainx, trainy] = matcreater. createtrainmatrix ("Data/train.txt")

nodes and output functions to form a logical strategy, this talk about its principle, mainly through the case of the way to explain the R language implementation of neural network algorithm process and attention to matters.Main cases:Case 1: Analysis and prediction of the quality and type of alcohol in the neural network;Case 2: Corporate financial early warning model. Nineth Lecture : Cross-validation compares each modelFor the same data, there may be many models to fit, how to measure and com

remainders graph to express the dependency between variables, variables are represented by nodes, and dependencies are represented by edges .Ancestor, parent, and descendant nodes. A node in a Bayesian network, if its parent node is known, its condition is independent of all its non-descendant nodesEach node comes with a conditional probability table (CPT)that represents the contact probability of the node and parent node Modeling stepsCreate a network structure (knowledge of hideaway industry

Yunshan's staff can fully develop external interfaces, Wu Yan put his main energy into data mining, continue to study how to apply algorithms in WEKA to your project. Half a month later, Wu Yan implemented algorithms such as naive Bayes, demo-tree, and association rule, and found application scenarios in the project, for example, Naive Bayes is suitable for Predicting whether users of a product like it or not. Whether or not a specified type of adver

for recognition, it may be due to a mistake. In the past two days, Dangdang has been unable to make a deal with the customer due to incorrect prices. If he wants to provide the price comparison function, the price information must be accurate. Therefore, the manual method is more reliable, in addition, during this process, Wu Yan can calculate the time required for each product input and calculate the total number of products on each website, in this way, we can accurately estimate the required

Classifier._labels If fval in Cpdist[l, fname]. samples ()], key=labelprob) If len (labels) = = 1:continue L0 = labels[0] L1 = labels[-1 ] If cpdist[l0, Fname].prob (fval) = = 0:ratio = ' INF ' else:ratio = '%8.1f '% (CPDIST[L1, Fname].prob ( FVal)/cpdist[l0, Fname].prob (fval)) print fname+ "=" +fval, print ('%6s:%-6s =%s:1.0 '% (("%s"% L1) [: 6], ("%s"% l0) [: 6], ratio))) Running Result: = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = =

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 v

live a view, we need to check it out. Select the adventureworksdw2012 Data Warehouse and click Next. Confirm the connection file and click Finish. In the following interface, you can select a table in the specified database. Click OK. On the import data page that appears, select Properties to display the connection property page: On the connection properties page, click definition, change command type to SQL, enter the SQL query you just created in command

was something wrong. Li Yunshan had a lot of trouble in the previous paragraph. It is estimated that Zhang shaozhi's pressure would not be too small."Okay !" Zhang shaozhi said, "after you went back from the previous paragraph, we changed the system on your side and used it directly to the shangcong network. At the beginning, the timeliness was good, however, it was found that there were still many problems, especially the K-Mean clustering algorithm. The results of each operation were differen

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

much more complex than English word segmentation. However, similarity calculation does not solve the problem in different languages. Second, similarity calculation is based on the interaction data between users and systems, in this way, some hotspot entries can be better reflected, so that the recommendation results are more time-sensitive. Of course, the recommendation is based on the data mining technology, which will inevitably be affected by the

("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

real data describing real estate attributes, we can build a model that predicts the price based on the known features of the House. The scenario is a regression problem because the output responds to sequential values rather than classifications. 　　 (3) Clustering 　　 Identify data groupings in which the data items in a group are more similar to the data items in other groups. 　　 Clustering Example: In customer segmentation analysis, the goal is to identify customer behavior similar feature grou