Comment obtenir du texte brut à partir d'un fichier pdf en utilisant java

J'ai des fichiers pdf, en utilisant pdfbox, je les ai convertis en texte et stockés dans des fichiers texte, Maintenant à partir des fichiers texte que je veux supprimer

  1. Hyperliens
  2. Tous les caractères spéciaux
  3. lignes Vides
  4. en-têtes pieds de page des fichiers pdf
  5. "1)","2)", "a)", "balles", etc.

Je veux obtenir du texte valide ligne par ligne comme ceci:

Nous proposons OntoGain, une méthode d'apprentissage de l'ontologie à partir de termes de concept multi-mots extraits de texte brut. OntoGain suit un processus d'apprentissage de l'ontologie déni par des couches de traitement distinctes. S'appuyant sur l'extraction de termes simples, une hiérarchie de concepts est formée en regroupant les concepts extraits. Le terme dérivé taxonomie est ensuite enrichi de relations non taxonomiques. Plusieurs diérentes méthodes de pointe ont été examinées pour la mise en œuvre de chaque couche. OntoGain est basé sur des concepts de termes à plusieurs mots, car les termes à plusieurs mots ou composés sont dotés d'une sémantique plus solide et distinctive que les termes simples d'un seul mot. Nous avons opté pour une méthode de clustering hiérarchique et un algorithme d'Analyse de concept formel (FCA) pour construire le terme taxonomie. De plus, un algorithme de règle d'association est appliqué pour révéler les relations non taxonomiques. Une méthode qui tente de réaliser le niveau de généralisation le plus approprié entre les concepts d'une relation est également mise en œuvre. Pour montrer la preuve de concept, un prototype de système est implémenté. L'OntoGain permet la transformation de l'ontologie dérivée en CHOUETTE à l'aide de Jena Web Sémantique Cadre-travail1. OntoGain est appliqué sur deux sources de données distinctes un corpus médical et informatique et ses résultats sont comparés à des résultats similaires obtenus par Text2Onto, une méthode d'apprentissage de l'ontologie de pointe. L'analyse des résultats de 11.5 CCD1.1 indique qu'OntoGain fonctionne mieux que Text2Onto en termes de précision extrait des concepts plus corrects tout en étant plus sélectif extrait moins de concepts mais plus raisonnables.

Comment puis-je réaliser cette?

Author: e-sushi, 2013-08-07
Source

4 answers

En utilisant pdfbox nous pouvons atteindre ce

Exemple : 

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) {
            e.printStackTrace();
        }

    }
}
 26
Author: SANN3, 2013-08-07 12:39:50

Salut, nous pouvons extraire les fichiers pdf à l'aide de Apache Tika

L'Exemple est la suivante :

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"));
    }

}
 15
Author: Johnsa Philip, 2018-04-14 11:33:08

Vous pouvez utiliser iText pour faire de telles choses

//iText imports

import com.itextpdf.text.pdf.PdfReader;
import com.itextpdf.text.pdf.parser.PdfTextExtractor;

Par exemple:

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);
}

Un autre 

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();
}

Les exemples ci-dessus ne peuvent extraire que le texte, mais vous devez en faire plus pour supprimer les hyperliens, les puces, les en-têtes et les numéros.

 11
Author: Ulaga, 2016-05-25 13:18:37

Extraction de tous les mots-clés du fichier PDF sur votre machine locale ou chaîne encodée en Base64: 

    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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" +
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                    "uIAowMDAwMDAzNzk2IDAwMDAwIG4gCjAwMDAwMDg2ODcgMDAwMDAgbiAKMDAwMDAwODcwOCAwMDAwMCBuIAowMDAwMDA4NzI3IDAwMDAwIG4gCjAwMDAwMDg3ODAgMDAwMDAgbiAKMDAwMDAwODc5OSAwMDAwMCBuIAowMDAwMDA4ODE4IDAwMDAwIG4gCjAwMDAwMDg4NDUgMDAwMDAgbiAKMDAwMDAwODg4NyAwMDAwMCBuIAowMDAwMDA4OTA2IDAwMDAwIG4gCnRyYWlsZXIKPDwgL1NpemUgMjYgL1Jvb3QgMTQgMCBSIC9JbmZvIDEgMCBSIC9JRCBbIDxkYjc4M2NhNDM2Mzg4YzI5ZDc5MDQ2NzY3NjUxNjE3OT4KPGRiNzgzY2E0MzYzODhjMjlkNzkwNDY3Njc2NTE2MTc5PiBdID4+CnN0YXJ0eHJlZgo5MTA0CiUlRU9GCg==";
            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;
        }
    }
 0
Author: Dmitri Algazin, 2017-12-12 14:24:56