;import Org.ansj.domain.term;import Org.ansj.splitword.analysis.toanalysis;public class wordsegmenttest {public static void main (string[] args) {String str = "If life can always be like a two or three-year-old child, there would have been no responsibility, it would have been no hardship." How can you hide when the responsibility is on your shoulder when you grow up? But there is a difference in size. It is a great pleasure to do a great job, and a small pleasure to do a small duty. If you want
1. QuestionsThe ES5.6.3 version is now used in the project, and after solving the problem of field annotations not loading mapping, it seems that IK participle is not ideal.Later view the configuration discovery for 5.5.0 IKAnalyzer.cfg.xmlHere IK is the default file that helps us configure word breakers, which are words that IK has already divided.Then look at the 5.6.3IK configuration file5.6.3 did not help us to configure the location of the word breaker.Next look at the source codeThe file n
Example 1:Participle ( returns a comma-delimited phrase with quotation marks for each word, gap= ",", quotes= "'" or quotes= ' ")Single quotation marksOutput Word Segmentation resultsDouble quotesOutput Word Segmentation resultsEffectFull code(example file: _samples/2words2.html)Such participle can be directly used as a query condition of SQL, such as: where Word in (@{ppage:words}), Convenient!Download and description of light-open platform resourcesPlatform and Latest development Manuals free
After all, IK can't keep up with the search engine steps ah, used to be used to IK suddenly solr5.0 but there is no corresponding version (maybe I did not find it). Here first with mmesg4j instead, feel good, integration process super simple, a few steps will be done:1. Enter the/tomcat/webapps/solr/web-inf/lib directory and put Mmseg4j-solr-2.3.0.jar and Mmseg4j-core-1.10.0.jar in2, enter the Solr/home directory, set up their own thesaurus, I here is the establishment of My_dic folder, inside p
not, then perform the operation after.2. Change the text file encoding for the item, resource, properties, right-click, first adjust the text file encoding back to GBK, and then go back to reset console encoding encoding to GBK.Many projects now require a unified character encoding before the start of the project to UTF-8, this is to better support internationalization, which can not avoid the console garbled this kind of comparison of the problem (at least I checked for a long time), so write
Tip : You must ensure that the previous ES does not exist in the index, otherwise es cluster cannot start, will prompt red!1. Download the IK dictionary configuration filehttp://download.csdn.net/detail/xxx0624/8464751Then unzip the file (you can get an IK folder) and put it under the Config folder of es.2. Download Ik.jarhttp://download.csdn.net/detail/xxx0624/8464743Download and drop it directly into the Lib folder3. Modify the Elasticsearch.yml (config folder)Add to:" ik "Elasticsearch using
Bei's document ', then you can use TermqueryBooleanquery: If you want to query this: include "Liu Bei" in the Content field and include the document "Three Kingdoms" in the Title field, then you can create two termquery and connect them with Booleanquery:Wildcardquery: If you want to make a wildcard query for a word, you can use Wildcardquery, which includes the '? ' character. Match an arbitrary character and ' * ' to match 0 or more arbitrary characters, such as you search ' Three Kingdoms *
: Weighted: whether to display the weight of keywords
import pynlpir
import jieba
pynlpir.open()
s = ‘最早的几何学兴起于公元前7世纪的古埃及‘
# s = ‘hscode为0110001234的进口‘
segments = pynlpir.segment(s, pos_names=‘all‘,pos_english=False)
for segment in segments:
print (segment[0], ‘\t‘, segment[1])
key_words = pynlpir.get_key_words(s, weighted=True)
for key_word in key_words:
print (key_word[0]
to study the relevant technology to understand the source of friends directly seeking exchange and sharing technology: 2147775633Turbine DemoTurn on server, Service-hi, Service-la, Service-turbine Engineering.Open Browser input: Http://localhost:8769/turbine.stream,Request in turn:http://localhost:8762/hi?name=whhttp://localhost:8763/hi?name=whOpen: Http://localhost:8763/hystrix, input monitor stream http://localhost:8769/turbine.streamYou can see that this page aggregates the Hystrix dashbord
Use the Ikanalyzer Chinese parser:The first step: Add, ikanalyzer2012ff_u1j to the Sol/web-inf/lib directory.Step two: Copy the Ikanalyzer configuration file and the custom dictionary and the deactivation Dictionary to SOLR's classpath (classes), which is under solr\web-inf\classes.Step three: Add a custom FieldType to the Schema.xml in the SOLR home directory, using the Chinese parser. Ikanalyzer - name= "Text_ik" class= "SOLR." TextField ">class=" Org.wltea.analyzer.lucene.IKAnalyzer "/>fi
1. Download three packages from the official website:http://taku910.github.io/mecab/mecab-0.996 mecab-0.996.tar.gz mecab-ipadic-2.7.0-20070801 mecab-ipadic-2.7.0-20070801.tar.gz mecab-python-0.996 Mecab-python-0.996.tar.gz2, according to the official website said installationWhen installing the Mecab-ipadic dictionary, a pit was encountered. Tips:Mecab-config isn't found in your systemThe correct solution is:Vim/etc/ld.so.conf$ cat/etc/ld.so.confinclude/etc/ld.so.conf.d/*.conf/usr/local/libThen
Participle is an important part of using SOLR and luence, and this article will introduce one of the Chinese word breakers ik
IK Analyzer is an open-source, lightweight Chinese word segmentation toolkit based on Java language development. Starting with the 1.0 release in December 2006, Ikanalyzer has launched 3 major editions. Initially, it is an open source project Luence as the main application, combining dictionary segmentation and Grammar Analysis algorithm of Chinese phrases. The new versi
IK participle full name is Ik Analyzer, is written by Java Chinese word breaker toolkit, currently used in Lucene and SOLR more, using a unique "forward iteration of the most fine-grained segmentation algorithm", support fine-grained and intelligent word segmentation two types of segmentation mode download Address
Https://github.com/linvar/IKAnalyzer
Ikanalyzer built-in dictionary insideCase
Package com.yellowcong.index;
Import Java.io.File;
Import
example: Mmseg word breaker is a dictionary-based word segmentation algorithm. The maximum forward matching is the main, multi-The elimination ambiguity algorithm is supplemented. But no matter how it is divided. This kind of Word segmentation method, Word segmentation accuracy is not high. because Chinese is more complex, it is not recommended to use the forward maximum matching algorithm in ChineseWord breaker
The previous article described how to use Hystrix Dashboard to monitor the Hystrix command of a circuit breaker. When we have a lot of services, this needs to be aggregated so that the service Hystrix dashboard data. This requires another component of Spring cloud, the Hystrix Turbine.I. Introduction of HYSTRIX turbineLooking at the individual Hystrix dashboard data does not have much value, want to see this system Hystrix dashboard data need to use H
Recently in the study of text mining, for Chinese text, first of all to do word segmentation, then the use of the nlpir participle system. Summarize the information on the Internet: The following describes how to call the Nlpir word breaker in C + +:Step 1: Download the latest version of the Nlpir word breaker: http://ictclas.nlpir.org/. After decompression, such as:Step 2: Open the IDE (I'm using Eclipse)
1 Ikanalyzer word breaker configuration.
1.1 Copy Ikanalyzer2012_u6\ikanalyzer2012_u6.jar to C:\apache-tomcat-6.0.32\webapps\
Under the Solr\web-inf\lib folder
1.2 Create a new classes folder under the C:\apache-tomcat-6.0.32\webapps\solr\WEB-INF folder, copy the Ikanalyzer2012_u6\ IKAnalyzer.cfg.xml and Ikanalyzer2012_u6\stopword.dic to classes folder, modify IKAnalyzer.cfg.xml, add
Classes under the new Ext.dic file, Ext.dic inside is added to add
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