text categorization api

　　 Overview Automatic text categorization (Automatic text categorization), or simply text categorization, refers to a computer's process of attributing an article to a given class or category.

. Background This posting design of the depth of learning content mainly refers to Rnn and CNN, and in the paper "1,2,3,4,5" is mainly concerned with the use of CNN Text modeling and classification, the paper "3" refers to the use of RNN training text vector method, so for the sake of simplicity of description, I used direct depth learning to represent the classification method used in this article.The main

invention of entropy solved the problem completely. Worship Shannon. 』 specifically to text categorization, we now have a term ti that calculates its information gain to determine whether it is useful for categorization. So, first look at the entropy of the document without any features, that is, when there are no features to classify, how much information we h

Text categorization problem: given document P (may contain title T), categorize documents into one or more of the N categoriesText classification applications: Common spam identification, sentiment analysisText classification direction: mainly two categories, multi-classification, multi-label classificationText Classification methods: Traditional machine learning Methods (Bayesian, SVM, etc.), deep learning

info:precision:0.764recall:0.759f1-score:0.760*************************Knn*************************Predict info:precision:0.642recall:0.635f1-score:0.636*************************Svm*************************Predict info:precision:0.777recall:0.774f1-score:0.7744. Clustering[CPP]View Plaincopy ###################################################### #KMeans Cluster From Sklearn.cluster import Kmeans Print ' *************************\nkmeans\n************************* ' pred

. Naive Bayesian classifier has two kinds of polynomial model and Bernoulli model when it is used in text classification, and the algorithm realizes these two models and is used for spam detection respectively, which has remarkable performance.Note: Personally, the "machine learning Combat" naive Bayesian chapter on the text classification algorithm is wrong, whether it is its Bernoulli model ("word set") o

://github.com/richliao/textClassifier (Keras)Https://github.com/ematvey/hierarchical-attention-networks (TensorFlow)Https://github.com/EdGENetworks/attention-networks-for-classification (Pytorch)I'm a split line.[5] Recurrent convolutional neural Networks for Text classificationSiwei Lai et al.Chinese Academy of SciencesAAAI 2015https://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/viewFile/9745/9552This article presents a cyclic convolution neural net

predict_proba should not be taken too seriously. Another limitation of Naive Bayes is the hypothesis of independent prediction. In real life, this is almost impossible, and there are more or less mutual effects between the variables. 4 Applications of Naive BayesReal-time predictions: no doubt, naive Bayes soon.multi-Class prediction: This algorithm is known for its multi-class predictive capabilities, so it can be used to predict the probability of multiple target variables.text

(CJ) =n (CJ)/n,p (d (TI) | CJ) = (n (ti, CJ) +1)/(n (CJ) +m), where N (CJ) represents the number of text in the training text that belongs to the Cj class, N is the amount of training text, N (ti, CJ) represents the number of training text containing feature TI in the category Cj, and M represents the total number of

In recent days to see a text categorization program, write the specific implementation process. Sometimes I see the algorithm, I feel very clear, but I do not know when to achieve. This time from a practical process, may be able to better understand. The first is the training dataset and the test data set. One line per document, mainly including Feature selection is divided into the following several steps

]-qout quantizing the classifier [0]-dsub Size of each sub-vector [2] What is the function that can be entered when the is execute (). -dim, vector length, default 100-D; -wordngrams, Word type, general can choose 2, two-tuple -verbose, the details of the output information, 0-2, different levels of detail (0 represents nothing). -LR: Learning rate [0.1] -lrupdaterate: Changing the rate of update rates [+] -dim: Word vector size [?] -ws: Context window size [5] -epoch: Number of loops [5] - NE

This competition can be said to be just right on my appetite, and finally and machine learning on the top. My method is to use the Bayesian method, the effect reached 85.5%, here to share, other training methods of friends can also exchange.Let's start with a little digression:The "Small sample Theory" I wrote earlier has been perfected in the near term (I think the problem is a bit of a piece of paper for a couple of months), but I want to brag about the other person's approach to this, so it's

This article again to introduce the function of the Web API, about the text of the lookup is only slightly, because there is expand, the existing Web API can be implemented, mainly refers to the text of the option set, we find through the Basic Query API field value only wit

Problem Source: http://www.cnblogs.com/del/archive/2008/06/18/1083011.html#1229305 Tell Roy. Flex: Your problem is still complicated. The first step is to complete it; Next, if you want to capture other Program The mouse in needs to be DLL; However, there is also a simple method, that is, to use ttimer to obtain it regularly, so that no hook is needed; But still need to know the handle of the object to operate, this can refer to: http://www.cnblogs.com/del/archive/2008/03/09/1097942.html

")# Enter Message bodyEditbox.send_keys (U "message body content")# switch out of the rich text box and go back to the default pageSelf.driver.switch_to.default_content ()# Find the "Send" button on the page and click on itSelf.driver.find_element_by_xpath ('//span[.= ' sent "]"). Click ()# Display is waiting for page elements containing the keyword "send success" to appear on the pageWait.until (ec.visibility_of_element_located\((By.xpath, '//span[.=

(Encoder.encode (data)); }} 4. Write a method to invoke the Baidu API interface to obtain the recognition results Package Com.wsk.netty.check;import Org.apache.http.httpresponse;import Org.apache.http.client.httpclient;import Org.apache.http.client.methods.httppost;import Org.apache.http.entity.stringentity;import Org.apache.http.impl.client.defaulthttpclient;import Org.apache.http.util.entityutils;import Java.io.File;import Java.io.ioexception;impo

Android API Guides --- Text and InputText and InputUse the text service to add convenience features, such as copying/Pasting and checking spelling to your application. You can also develop your own text service that provides custom input methods, dictionaries, and spell checks, and you can distribute them to users for

In the past few days, the old week in upgrading the "South China Leisure Kidney Recovery Registration Platform", in order to expand the business, in particular, allow other developers to the system to submit information about the kidney, so that the system added several Web APIs.Among them, the introduction of the kidney is submitted in plain text, the approximate code is this. [Route ' api/[controller]/[

In the past few days, the old week in upgrading the "South China Leisure Kidney Recovery Registration Platform", in order to expand the business, in particular, allow other developers to the system to submit information about the kidney, so that the system added several Web APIs. Among them, the introduction of the kidney is submitted in plain text, the approximate code is this. [Route ("api/[controller

9:30, just wrote to 1, 2. It's time to go home and finish writing tomorrow.We still need what operation, message said, no I continue to add tomorrow. Long time no play devexpress, today downloaded a play, found unexpectedly updated to 14.2.5. I'll go. Topics in this chapter: Create Project, form build Add a toolbar to Richeditcontrol To create a custom toolbar button item Image parsing operations Correcting document fonts Content search function