solr+jieba结巴分词

为什么选择结巴分词

分词效率高
词料库构建时使用的是jieba (python)

结巴分词Java版本

下载

git clone https://github.com/huaban/jieba-analysis

编译

cd jieba-analysis
mvn install

注意

如果mvn版本较高，需要修改pom.xml文件，在plugins前面增加

solr tokenizer版本

https://github.com/sing1ee/analyzer-solr (solr 5)
https://github.com/sing1ee/jieba-solr.git (solr 4)

支持solr 6或7或更高

如果你的solr像我一样，版本比较新，需要对代码稍做修改，但改动其实不大。(根据给编译时报的错误做修改即可)

build.gradle的diff

diff --git a/build.gradle b/build.gradle
index 2a87525..06c5cc3 100644
--- a/build.gradle
+++ b/build.gradle
@@ -1,4 +1,4 @@
-group = \'analyzer.solr5\'
+group = \'analyzer.solr7\'
version = \'1.0\'
apply plugin: \'java\'
apply plugin: "eclipse"
@@ -14,15 +14,14 @@ repositories {
dependencies {
testCompile group: \'junit\', name: \'junit\', version: \'4.11\'

- compile("org.apache.lucene:lucene-core:5.0.0")
- compile("org.apache.lucene:lucene-queryparser:5.0.0")
- compile("org.apache.lucene:lucene-analyzers-common:5.0.0")
- compile(\'com.huaban:jieba-analysis:1.0.0\')
-// compile("org.fnlp:fnlp-core:2.0-SNAPSHOT")
+ compile("org.apache.lucene:lucene-core:7.1.0")
+ compile("org.apache.lucene:lucene-queryparser:7.1.0")
+ compile("org.apache.lucene:lucene-analyzers-common:7.1.0")
+ compile files(\'libs/jieba-analysis-1.0.3.jar\')
compile("edu.stanford.nlp:stanford-corenlp:3.5.1")
}

task "create-dirs" << {
sourceSets*.java.srcDirs*.each { it.mkdirs() }
sourceSets*.resources.srcDirs*.each { it.mkdirs() }
-}
\ No newline at end of file
+}

编译

./gladlew build

集成到solr

拷贝jar包到solr的目录下：server/solr-webapp/webapp/WEB-INF/lib

schema修改

    <fieldType name="text_jieba" class="solr.TextField" positionIncrementGap="100">
      <analyzer type="index">
        <tokenizer class="analyzer.solr7.jieba.JiebaTokenizerFactory"  segMode="SEARCH"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_ch.txt" />
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.SnowballPorterFilterFactory" language="English"/>
      </analyzer>
      <analyzer type="query">
        <tokenizer class="analyzer.solr7.jieba.JiebaTokenizerFactory"  segMode="SEARCH"/>
        <filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_ch.txt" />
        <filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/>
        <filter class="solr.LowerCaseFilterFactory"/>
        <filter class="solr.SnowballPorterFilterFactory" language="English"/>
      </analyzer>
    </fieldType>