想实现解析简历功能，用poi来解析.doc,docx,rtf,txt。
但是要过滤出来一些信息，像name,tel,email,address这些信息.(简历全是英文的)
请问大家有什么好方法、好的思路吗？？
都好长时间了，一直没有想出什么好方法来实现，请高手指教。，谢谢~
------解决方案--------------------------------------------------------
解析word很简单，我给楼主贴一个，就是不知道怎么过滤
- Java code
package com.psp.util;import java.io.File;import java.io.FileInputStream;import java.io.IOException;import java.io.InputStream;import java.util.ArrayList;import org.apache.poi.poifs.filesystem.DocumentEntry;import org.apache.poi.poifs.filesystem.DocumentInputStream;import org.apache.poi.poifs.filesystem.POIFSFileSystem;import org.apache.poi.util.LittleEndian;public class WordExtractor { public WordExtractor() { } public String extractText(InputStream in) throws IOException { ArrayList text = new ArrayList(); POIFSFileSystem fsys = new POIFSFileSystem(in); DocumentEntry headerProps = (DocumentEntry) fsys.getRoot().getEntry("WordDocument"); DocumentInputStream din = fsys.createDocumentInputStream("WordDocument"); byte[] header = new byte[headerProps.getSize()]; din.read(header); din.close(); int info = LittleEndian.getShort(header, 0xa); boolean useTable1 = (info & 0x200) != 0; int complexOffset = LittleEndian.getInt(header, 0x1a2); String tableName = null; if (useTable1) { tableName = "1Table"; } else { tableName = "0Table"; } DocumentEntry table = (DocumentEntry) fsys.getRoot().getEntry(tableName); byte[] tableStream = new byte[table.getSize()]; din = fsys.createDocumentInputStream(tableName); din.read(tableStream); din.close(); din = null; fsys = null; table = null; headerProps = null; int multiple = findText(tableStream, complexOffset, text); StringBuffer sb = new StringBuffer(); int size = text.size(); tableStream = null; for (int x = 0; x < size; x++) { WordTextPiece nextPiece = (WordTextPiece) text.get(x); int start = nextPiece.getStart(); int length = nextPiece.getLength(); boolean unicode = nextPiece.usesUnicode(); String toStr = null; if (unicode) { toStr = new String(header, start, length * multiple, "UTF-16LE"); } else { toStr = new String(header, start, length, "ISO-8859-1"); } sb.append(toStr).append(" "); } return sb.toString(); } private static int findText(byte[] tableStream, int complexOffset, ArrayList text) throws IOException { //actual text int pos = complexOffset; int multiple = 2; //skips through the prms before we reach the piece table. These contain data //for actual fast saved files while (tableStream[pos] == 1) { pos++; int skip = LittleEndian.getShort(tableStream, pos); pos += 2 + skip; } if (tableStream[pos] != 2) { throw new IOException("corrupted Word file"); } else { //parse out the text pieces int pieceTableSize = LittleEndian.getInt(tableStream, ++pos); pos += 4; int pieces = (pieceTableSize - 4) / 12; for (int x = 0; x < pieces; x++) { int filePos = LittleEndian.getInt(tableStream, pos + ((pieces + 1) * 4) + (x * 8) + 2); boolean unicode = false; if ((filePos & 0x40000000) == 0) { unicode = true; } else { unicode = false; multiple = 1; filePos &= ~(0x40000000); //gives me FC in doc stream filePos /= 2; } int totLength = LittleEndian.getInt(tableStream, pos + (x + 1) * 4) - LittleEndian.getInt(tableStream, pos + (x * 4)); WordTextPiece piece = new WordTextPiece(filePos, totLength, unicode); text.add(piece); } } return multiple; } public static void main(String[] args){ WordExtractor w = new WordExtractor(); //POIFSFileSystem ps = new POIFSFileSystem(); try{ File file = new File("E:\\资料\\相关问题和论文.doc"); InputStream in = new FileInputStream(file); String s = w.extractText(in); System.out.println(s); }catch(Exception e){ e.printStackTrace(); } }}class WordTextPiece { private int _fcStart; private boolean _usesUnicode; private int _length; public WordTextPiece(int start, int length, boolean unicode) { _usesUnicode = unicode; _length = length; _fcStart = start; } public boolean usesUnicode() { return _usesUnicode; } public int getStart() { return _fcStart; } public int getLength() { return _length; }}