下载：绪论

• Stanford CoreNLP
• OpenNLP
• General Architecture for Text Engineering (GATE)
• Unstructured Information Management Applications (UIMA)
• Mallet
• Deep Learning for Java (DL4J)
• Commons Text
• Snowball
• Weka
• Tika

• 下载JDK（版本：jdk-8u*-windows-x64.exe</color>或jdk-17.***_windows-x64_bin.exe）：https://www.oracle.com/java/technologies/downloads/ * 设置环境变量： <code> JAVA_HOME: C:\Program Files\Java\jdk1.8.0_301 CLASSPATH: %JAVA_HOME%\lib\tools.jar;%JAVA_HOME%\lib\dt.jar; PATH: %JAVA_HOME%\bin;%JAVA_HOME%\jre\bin; </code> * 测试是否安装成功 <code bash> > java > javac </code> ==== Maven安装及配置 ==== * 下载（apache-maven-<version>-bin.zip或apache-maven-<version>-bin.tar.gz）：https://maven.apache.org/download.cgi * 解压至某个目录，比如：d:\dev\maven * 配置环境变量Path，新增d:\dev\maven\bin * 验证是否安装成功 <code bash> > mvn -v </code> *Repository路径配置（可选）：利用文本编辑器（比如：Sublime Text）打开Maven解压目录里中conf子目录下的settings.xml文件，配置localRepository项，实例如下： <code xml> <localRepository>D:/dev/maven/repo</localRepository> </code> ==== 集成开发环境Eclipse安装及配置 ==== *下载：https://www.eclipse.org/downloads/ *配置：Windows–>Preferences–>Maven * Installations: Add解压的Maven目录，并打上对勾，点击Apply； * User Settings: 在User Settings中选择Browse，选择Maven解压目录里中conf子目录下的settings.xml文件，点击Apply and Close。 ===== 测试实例 ===== *File–>Project–>Maven–>Maven Project，点击Next； *点击Next； *修改Use default Workspace location，或直接点击Next； *选择maven-archetype-quickstart，点击Next； *输入Group Id（例如：cn.edu.bjut），Artifact Id（例如：textmining）和Package（例如：cn.edu.bjut.chapter1），点击Finish。 ==== POM配置文件 ==== <file xml POM.xml> <project xmlns=“http://maven.apache.org/POM/4.0.0” xmlns:xsi=“http://www.w3.org/2001/XMLSchema-instance” xsi:schemaLocation=“http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd”> <modelVersion>4.0.0</modelVersion> <groupId>cn.edu.bjut</groupId> <artifactId>text-mining</artifactId> <version>0.0.1-SNAPSHOT</version> <packaging>jar</packaging> <name>text-mining</name> <url>http://maven.apache.org</url> <properties> <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding> </properties> <dependencies> <dependency> <groupId>junit</groupId> <artifactId>junit</artifactId> <version>3.8.1</version> <scope>test</scope> </dependency> <dependency> <groupId>org.apache.opennlp</groupId> <artifactId>opennlp-tools</artifactId> <version>1.9.3</version> </dependency> </dependencies> </project> </file> ==== 实例代码 ==== <file java TokenizerExample.java> package cn.edu.bjut.chapter1; import opennlp.tools.tokenize.SimpleTokenizer; public class TokenizerExample { public static void main(String[] args) { String text = “Text analysis and text mining are amazing!”; SimpleTokenizer tokenizer = SimpleTokenizer.INSTANCE; System.out.println(“Tokens:”); String[] tokens = tokenizer.tokenize(text); for (String token : tokens) { System.out.println(token); } } } </file> ~~DISCUSSION~~