我有一些pdf文件,使用pdfbox我已将它们转换为文本并存储到文本文件中,现在从我要删除的文本文件中
我希望逐行获得有效的文字:
我们提出了OntoGain,一种从纯文本中提取的多词概念术语进行本体学习的方法。 OntoGain遵循由不同处理层定义的本体学习过程。在简单术语提取的基础上,通过聚类提取的概念来形成概念层次结构。然后,衍生的术语分类法充满了非分类关系。已经研究了几种不同的最先进的方法来实现每一层。 OntoGain基于多词术语概念,因为多词或复合词具有比普通单词词更加坚实和独特的语义。我们选择了层次聚类方法和形式概念分析(FCA)算法来构建术语分类法。此外,应用关联规则算法来揭示非分类关系。还实现了一种尝试在关系概念之间执行最合适的泛化级别的方法。为了显示概念证明,实现了系统原型。 OntoGain允许使用Jena Semantic Web Frame-work1将派生的本体转换为OWL。 OntoGain应用于医学和计算机语料库两个独立的数据源,并将其结果与Text2Onto(一种最先进的本体学习方法)获得的类似结果进行比较。对11.5 CCD1.1结果的分析表明,OntoGain在精确度方面比Text20nto表现更好,提取更正确的概念,同时更有选择性地提取更少但更合理的概念。
我怎样才能做到这一点?
答案 0 :(得分:30)
使用pdfbox我们可以实现此目标
示例:
public static void main(String args[]) {
PDFParser parser = null;
PDDocument pdDoc = null;
COSDocument cosDoc = null;
PDFTextStripper pdfStripper;
String parsedText;
String fileName = "E:\\Files\\Small Files\\PDF\\JDBC.pdf";
File file = new File(fileName);
try {
parser = new PDFParser(new FileInputStream(file));
parser.parse();
cosDoc = parser.getDocument();
pdfStripper = new PDFTextStripper();
pdDoc = new PDDocument(cosDoc);
parsedText = pdfStripper.getText(pdDoc);
System.out.println(parsedText.replaceAll("[^A-Za-z0-9. ]+", ""));
} catch (Exception e) {
e.printStackTrace();
try {
if (cosDoc != null)
cosDoc.close();
if (pdDoc != null)
pdDoc.close();
} catch (Exception e1) {
e1.printStackTrace();
}
}
}
答案 1 :(得分:17)
您好我们可以使用Apache Tika
提取pdf文件示例是:
import java.io.IOException;
import java.io.InputStream;
import java.util.HashMap;
import java.util.Map;
import org.apache.http.HttpEntity;
import org.apache.http.HttpResponse;
import org.apache.http.client.methods.HttpGet;
import org.apache.http.impl.client.DefaultHttpClient;
import org.apache.tika.metadata.Metadata;
import org.apache.tika.metadata.TikaCoreProperties;
import org.apache.tika.parser.AutoDetectParser;
import org.apache.tika.parser.ParseContext;
import org.apache.tika.sax.BodyContentHandler;
public class WebPagePdfExtractor {
public Map<String, Object> processRecord(String url) {
DefaultHttpClient httpclient = new DefaultHttpClient();
Map<String, Object> map = new HashMap<String, Object>();
try {
HttpGet httpGet = new HttpGet(url);
HttpResponse response = httpclient.execute(httpGet);
HttpEntity entity = response.getEntity();
InputStream input = null;
if (entity != null) {
try {
input = entity.getContent();
BodyContentHandler handler = new BodyContentHandler();
Metadata metadata = new Metadata();
AutoDetectParser parser = new AutoDetectParser();
ParseContext parseContext = new ParseContext();
parser.parse(input, handler, metadata, parseContext);
map.put("text", handler.toString().replaceAll("\n|\r|\t", " "));
map.put("title", metadata.get(TikaCoreProperties.TITLE));
map.put("pageCount", metadata.get("xmpTPg:NPages"));
map.put("status_code", response.getStatusLine().getStatusCode() + "");
} catch (Exception e) {
e.printStackTrace();
} finally {
if (input != null) {
try {
input.close();
} catch (IOException e) {
e.printStackTrace();
}
}
}
}
} catch (Exception exception) {
exception.printStackTrace();
}
return map;
}
public static void main(String arg[]) {
WebPagePdfExtractor webPagePdfExtractor = new WebPagePdfExtractor();
Map<String, Object> extractedMap = webPagePdfExtractor.processRecord("http://math.about.com/library/q20.pdf");
System.out.println(extractedMap.get("text"));
}
}
答案 2 :(得分:13)
您可以使用iText执行此类操作
//iText imports
import com.itextpdf.text.pdf.PdfReader;
import com.itextpdf.text.pdf.parser.PdfTextExtractor;
例如:
try {
PdfReader reader = new PdfReader(INPUTFILE);
int n = reader.getNumberOfPages();
String str=PdfTextExtractor.getTextFromPage(reader, 2); //Extracting the content from a particular page.
System.out.println(str);
reader.close();
} catch (Exception e) {
System.out.println(e);
}
另一个
try {
PdfReader reader = new PdfReader("c:/temp/test.pdf");
System.out.println("This PDF has "+reader.getNumberOfPages()+" pages.");
String page = PdfTextExtractor.getTextFromPage(reader, 2);
System.out.println("Page Content:\n\n"+page+"\n\n");
System.out.println("Is this document tampered: "+reader.isTampered());
System.out.println("Is this document encrypted: "+reader.isEncrypted());
} catch (IOException e) {
e.printStackTrace();
}
以上示例只能提取文本,但您需要做更多工作来删除超链接,项目符号,标题和文本。号。
答案 3 :(得分:1)
对于Apache pdfbox的较新版本。这是原始source
的示例/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.pdfbox.examples.util;
import java.io.File;
import java.io.IOException;
import org.apache.pdfbox.pdmodel.PDDocument;
import org.apache.pdfbox.pdmodel.encryption.AccessPermission;
import org.apache.pdfbox.text.PDFTextStripper;
/**
* This is a simple text extraction example to get started. For more advance usage, see the
* ExtractTextByArea and the DrawPrintTextLocations examples in this subproject, as well as the
* ExtractText tool in the tools subproject.
*
* @author Tilman Hausherr
*/
public class ExtractTextSimple
{
private ExtractTextSimple()
{
// example class should not be instantiated
}
/**
* This will print the documents text page by page.
*
* @param args The command line arguments.
*
* @throws IOException If there is an error parsing or extracting the document.
*/
public static void main(String[] args) throws IOException
{
if (args.length != 1)
{
usage();
}
try (PDDocument document = PDDocument.load(new File(args[0])))
{
AccessPermission ap = document.getCurrentAccessPermission();
if (!ap.canExtractContent())
{
throw new IOException("You do not have permission to extract text");
}
PDFTextStripper stripper = new PDFTextStripper();
// This example uses sorting, but in some cases it is more useful to switch it off,
// e.g. in some files with columns where the PDF content stream respects the
// column order.
stripper.setSortByPosition(true);
for (int p = 1; p <= document.getNumberOfPages(); ++p)
{
// Set the page interval to extract. If you don't, then all pages would be extracted.
stripper.setStartPage(p);
stripper.setEndPage(p);
// let the magic happen
String text = stripper.getText(document);
// do some nice output with a header
String pageStr = String.format("page %d:", p);
System.out.println(pageStr);
for (int i = 0; i < pageStr.length(); ++i)
{
System.out.print("-");
}
System.out.println();
System.out.println(text.trim());
System.out.println();
// If the extracted text is empty or gibberish, please try extracting text
// with Adobe Reader first before asking for help. Also read the FAQ
// on the website:
// https://pdfbox.apache.org/2.0/faq.html#text-extraction
}
}
}
/**
* This will print the usage for this document.
*/
private static void usage()
{
System.err.println("Usage: java " + ExtractTextSimple.class.getName() + " <input-pdf>");
System.exit(-1);
}
}
答案 4 :(得分:0)
从本地计算机上的PDF文件或Base64编码的字符串中提取所有关键字:
import org.apache.commons.codec.binary.Base64;
import org.apache.pdfbox.pdmodel.PDDocument;
import org.apache.pdfbox.text.PDFTextStripper;
import java.io.File;
import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.IOException;
import java.util.HashMap;
import java.util.Map;
public class WebPagePdfExtractor {
public static void main(String arg[]) {
WebPagePdfExtractor webPagePdfExtractor = new WebPagePdfExtractor();
System.out.println("From file: " + webPagePdfExtractor.processRecord(createByteArray()).get("text"));
System.out.println("From string: " + webPagePdfExtractor.processRecord(getArrayFromBase64EncodedString()).get("text"));
}
public Map<String, Object> processRecord(byte[] byteArray) {
Map<String, Object> map = new HashMap<>();
try {
PDFTextStripper stripper = new PDFTextStripper();
stripper.setSortByPosition(false);
stripper.setShouldSeparateByBeads(true);
PDDocument document = PDDocument.load(byteArray);
String text = stripper.getText(document);
map.put("text", text.replaceAll("\n|\r|\t", " "));
} catch (Exception exception) {
exception.printStackTrace();
}
return map;
}
private static byte[] getArrayFromBase64EncodedString() {
String encodedContent = "data:application/pdf;base64,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" +
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String content = encodedContent.substring("data:application/pdf;base64," .length());
return Base64.decodeBase64(content);
}
public static byte[] createByteArray() {
String pathToBinaryData = "/bla-bla/src/main/resources/small.pdf";
File file = new File(pathToBinaryData);
if (!file.exists()) {
System.out.println(" could not be found in folder " + pathToBinaryData);
return null;
}
FileInputStream fin = null;
try {
fin = new FileInputStream(file);
} catch (FileNotFoundException e) {
e.printStackTrace();
}
byte fileContent[] = new byte[(int) file.length()];
try {
fin.read(fileContent);
} catch (IOException e) {
e.printStackTrace();
}
return fileContent;
}
}