微博内容正则表达式匹配链接, 话题标签与@用户

需要找出微博正文中的链接(主要为http链接)，话题标签(#内容#)，@用户，用正则表达式解决之，暂时找到的方案如下

1. 链接

正则表达式

(?:^|[\\W])((ht|f)tp(s?):\\/\\/|www\\.)(([\\w\\-]+\\.){1,}?([\\w\\-.~]+\\/?)*[\\p{Alnum}.,%_=?&#\\-+()\\[\\]\\*$~@!:/{};']*)

 /**
       * URL正则表达式
       */
 private static final Pattern urlPattern = Pattern.compile(
            "(?:^|[\\W])((ht|f)tp(s?):\\/\\/|www\\.)"
            + "(([\\w\\-]+\\.){1,}?([\\w\\-.~]+\\/?)*"
            + "[\\p{Alnum}.,%_=?&#\\-+()\\[\\]\\*$~@!:/{};']*)",
            Pattern.CASE_INSENSITIVE | Pattern.MULTILINE | Pattern.DOTALL);
 /**
  * 去掉文本中URLs
  * @param text
  * @return
  */
  public static String removeURLs(String text){
      Matcher matcher;
      String newTweet = text.trim();
      String cleanedText="";
      while(!newTweet.equals(cleanedText)){
          cleanedText=newTweet;
          matcher = urlPattern.matcher(cleanedText);
          newTweet = matcher.replaceAll("");
          newTweet =newTweet.trim();
      }
      return cleanedText;
 }
	
 /**
  * 获得文本中URL列表
  * @param originalString
  * @return
  */
 public static List<String> getURLs(String originalString){
     List<String> urlsSet=new ArrayList<String>();
     Matcher matcher = urlPattern.matcher(originalString);
     while (matcher.find()) {
         int matchStart = matcher.start(1);
         int matchEnd = matcher.end();
         String tmpUrl=originalString.substring(matchStart,matchEnd);
         urlsSet.add(tmpUrl);
         // now you have the offsets of a URL match
         originalString=originalString.replace(tmpUrl,"");
         matcher = urlPattern.matcher(originalString);
     }
     return urlsSet;
 }

2. 话题标签

正则表达式

#[^#]+#

/**
  * Hashtag正则表达式
  */
// private static final Pattern hashtagPattern = 
//    Pattern.compile("(?:^|\\s|[\\p{Punct}&&[^/]])(#[\\p{L}0-9-_]+)");
   private static final Pattern hashtagPattern = 
       Pattern.compile("#[^#]+#");
private static String removeHashtags(String text){
        Matcher matcher;
        String newTweet = text.trim();
        String cleanedText="";
        while(!newTweet.equals(cleanedText)){
                cleanedText=newTweet;
                matcher = hashtagPattern.matcher(cleanedText);
                newTweet = matcher.replaceAll("");
                newTweet =newTweet.trim();
        }
        return cleanedText;
    }
	
	public static List<String> getHashtags(String originalString){
        List<String> hashtagSet=new ArrayList<String>();
        Matcher matcher = hashtagPattern.matcher(originalString);
        while (matcher.find()) {
//            int matchStart = matcher.start(1);
        	int matchStart = matcher.start();
        	int matchEnd = matcher.end();
            String tmpHashtag=originalString.substring(matchStart,matchEnd);
            hashtagSet.add(tmpHashtag);
            originalString=originalString.replace(tmpHashtag,"");
            matcher = hashtagPattern.matcher(originalString);
        }
        return hashtagSet;
    }

3. @用户

正则表达式

@[\u4e00-\u9fa5a-zA-Z0-9_-]{2,30}

/**
 * 用户@正则表达式
 * 新浪微博中的用户名格式为是“4-30个字符，支持英文、数字、"_"或减号”, 
 * 也就是说，支持中文、字母、数字、下划线及减号，并且是4到30个字符（这里暂且认为汉字为一个字符）
 * 那么在写匹配的表达式的时候就可以这么来写:    @[\u4e00-\u9fa5a-zA-Z0-9_-]{4,30} 
 */
 // private static final Pattern usermentionPattern = 
//      Pattern.compile("(?:^|\\s|[\\p{Punct}&&[^/]])(@[\\p{L}0-9-_]+)");    
    private static final Pattern usermentionPattern = 
        Pattern.compile("@[\u4e00-\u9fa5a-zA-Z0-9_-]{2,30}");
public static String removeUserMentions(String text){
        Matcher matcher;
        String newTweet = text.trim();
        String cleanedText="";
        while(!newTweet.equals(cleanedText)){
                cleanedText=newTweet;
                matcher = usermentionPattern.matcher(cleanedText);
                newTweet = matcher.replaceAll("");
                newTweet =newTweet.trim();
        }
        return cleanedText;
    }
	
	public static List<String> getUsermentions(String originalString){
        List<String> usermentionsSet=new ArrayList<String>();
        Matcher matcher = usermentionPattern.matcher(originalString);
        while (matcher.find()) {
//            int matchStart = matcher.start(1);
        	int matchStart = matcher.start();
            int matchEnd = matcher.end();
            String tmpUsermention=originalString.substring(matchStart,matchEnd);
            usermentionsSet.add(tmpUsermention);
            originalString=originalString.replace(tmpUsermention,"");
            matcher = usermentionPattern.matcher(originalString);
        }
        return usermentionsSet;
    }