测试文章分类

上了数据挖掘这门课，想做个小例子。基本思路是根据配置文件打开相应的网址，再根据内容的分类信息自动选择符合的文章进行保存。考虑到效率，采用多线程方式。才完成一个基本框架。包括读取配置文件、打开网址、保存文件；后续还有很多工作，解析网页，分析类别等。感觉最大的工作量是网页分析，和数据挖掘关系不大啊，不知道符不符合要求。代码如下：

	public static void main(String[] args) {
		String baseUrl=null;
		String searchBlogs=null;
		String blogs[]=null;
		String fileDir=null;
		String category=null;
		
		InputStream inputStream =CsdnBlogMining.class.getClassLoader().getResourceAsStream("config.properties");
		Properties p = new Properties();
		try {
			p.load(inputStream);
			baseUrl=p.getProperty("baseUrl");
			fileDir=p.getProperty("fileDir");
			searchBlogs=p.getProperty("searchBlogs");
			if(searchBlogs!=""){
				blogs=searchBlogs.split(";");
			}
			for(String s:blogs){
				//System.out.println(s);
				//此处要采用多线程操作
				SaveFile sf=new SaveFile(baseUrl+s,fileDir+"/"+s+".html");
				sf.save();
			}
			category=new String(p.getProperty("category").getBytes("ISO-8859-1"),"UTF-8");
		} catch (IOException e) {
			e.printStackTrace();
		}
	}

public class SaveFile {
	private String url;
	private String filename;
	public SaveFile(String url,String filename){
		this.url=url;
		this.filename=filename;
	}
	public void save(){
		HttpClient httpclient = new DefaultHttpClient();
		HttpGet httpGet = new HttpGet(url);
        httpGet.setHeader("User-Agent", "Mozilla/5.0 (Windows NT 6.1; rv:6.0.2) Gecko/20100101 Firefox/6.0.2");
        try{
			HttpResponse response = httpclient.execute(httpGet);
			HttpEntity entity = response.getEntity();
			BufferedOutputStream outputStream = new BufferedOutputStream(new FileOutputStream(filename));
			if (entity != null) {	
				String res=EntityUtils.toString(entity,"UTF-8");
				outputStream.write(res.getBytes("UTF-8"));
				outputStream.flush();
			}
			outputStream.close();
		}catch(IOException e){
			e.printStackTrace();
		}
	}
}

测试文章分类

原文：http://blog.csdn.net/zjc/article/details/44308945